TY - INPR A1 - Bauder, Maximilian A1 - Paula, Daniel A1 - Pfeilschifter, Claus A1 - Petermeier, Franziska A1 - Kubjatko, Tibor A1 - Riener, Andreas A1 - Schweiger, Hans-Georg T1 - Influences of Vehicle Communication on Human Driving Reactions: A Simulator Study on Reaction Times and Behavior for Forensic Accident Analysis T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.4588275 Y1 - 2023 UR - https://dx.doi.org/10.2139/ssrn.4588275 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Göbel, Jan-Philipp A1 - Mertens, Jan Cedric A1 - Riener, Andreas T1 - Thermal imaging for the detection of driver impairment: evidence from a high-fidelity driving simulator study JF - Traffic Injury Prevention N2 - Objectives Driving under the influence of alcohol (DUI) remains a major contributor to fatal traffic crashes worldwide. With increasing regulatory pressure, such as requirements by Euro NCAP for in-vehicle impairment detection, there is a growing need for reliable, real-time monitoring solutions. While traditional DUI detection approaches focus on driving behavior or eye movement analysis, this study explores the potential of thermal imaging as a noninvasive alternative for detecting alcohol impairment. Methods We conducted a large-scale experimental study with 120 participants in a high-fidelity driving simulator, capturing thermal facial data under both non-impaired and alcohol-impaired conditions. A novel temperature extraction method was developed based on facial landmarks, incorporating multiple frames to reduce noise and improve temporal stability. Ambient cabin temperature was also recorded to normalize facial temperature readings and control for environmental influences. Several machine learning classifiers, including Logistic Regression, Random Forest, Support Vector Machine (SVM), and Gradient-Boosting Models, were trained using five facial temperature features (cheek, temple, ear, forehead, and nasal tip) and evaluated via five-fold subject-wise cross-validation. Results Significant temperature changes were observed in specific facial regions (particularly the cheek, ear, temple, and nasal tip) under alcohol influence. Among the evaluated models, Logistic Regression achieved the highest average classification accuracy (62%), while SVM demonstrated the most stable performance across folds. The model showed a slight conservative bias toward predicting the baseline (non-impaired) class, thereby reducing the risk of false positive classifications. Environmental conditions, including cabin temperature, were verified to be stable across both driving sessions, ensuring the validity of the physiological measurements. Conclusions This study demonstrates the feasibility of using thermal imaging for in-vehicle DUI detection under realistic conditions. Our contributions include the development of a robust facial temperature processing pipeline, the creation of a unique dataset collected under ecologically valid conditions, and a comprehensive comparison of seven state-of-the-art classification models. Thermal imaging represents a promising complementary modality for future driver monitoring systems focused on safety and impairment detection. UR - https://doi.org/10.1080/15389588.2026.2624006 Y1 - 2026 UR - https://doi.org/10.1080/15389588.2026.2624006 SN - 1538-9588 PB - Taylor & Francis CY - Philadelphia ER - TY - JOUR A1 - Rosbach, Emely A1 - Ammeling, Jonas A1 - Ganz, Jonathan A1 - Bertram, Christof A1 - Conrad, Thomas A1 - Riener, Andreas A1 - Aubreville, Marc T1 - Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology JF - Machine Learning for Biomedical Imaging N2 - Artificial intelligence (AI)-driven clinical decision support systems (CDSS) hold promise to improve diagnostic accuracy and efficiency in computational pathology. However, collaboration between human experts and AI may give rise to cognitive biases, such as automation and anchoring bias, wherein users may be inclined to blindly adopt system recommendations or be disproportionately influenced by the presence of AI predictions, even when they are inaccurate. These biases may be exacerbated under time pressure, pervasive in routine pathology diagnostics, or shaped by individual user characteristics. To investigate these effects, we conducted a web-based experiment in which trained pathology experts (n = 28) estimated tumor cell percentages twice: once independently and once with the aid of an AI. A subset of the estimates in each condition was performed under time constraints. Our findings indicate that AI integration generally enhances diagnostic performance. However, it also introduced a 7% automation bias rate, quantified as the number of accepted negative consultations, where a previously correct independent assessment gets overturned by inaccurate AI guidance. While time pressure did not increase the frequency of automation bias occurrence, it appeared to intensify its severity, as evidenced by a performance decline linked to increased automation reliance under cognitive load. A linear mixed-effects model (LMM) analysis, simulating weighted averaging, revealed a statistically significant positive coefficient for AI advice, indicating a moderate degree of anchoring on system output. This effect was further intensified under time pressure, suggesting that anchoring bias may become more pronounced when cognitive resources are limited. A secondary LMM evaluation assessing automation reliance, used as a proxy for both automation and anchoring bias, demonstrated that professional experience and self-efficacy were associated with reduced dependence on system support, whereas higher confidence during AI-assisted decision-making was linked to increased automation reliance. Together, these findings underscore the dual nature of AI integration in clinical workflows, offering performance benefits while also introducing risks of cognitive bias–driven diagnostic errors. As an initial investigation focused on a single medical specialty and diagnostic task, this study aims to lay the groundwork for future research to explore these phenomena across diverse clinical contexts, ultimately supporting the establishment of appropriate reliance on automated systems and the safe, effective integration of human–AI collaboration in medical decision-making. UR - https://doi.org/10.59275/j.melba.2026-87b1 Y1 - 2026 UR - https://doi.org/10.59275/j.melba.2026-87b1 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67787 SN - 2766-905X VL - 3 IS - MELBA–BVM 2025 Special Issue SP - 126 EP - 147 PB - Melba editors CY - [s. l.] ER - TY - INPR A1 - Peintner, Jakob A1 - Manger, Carina A1 - Berger, Melanie A1 - Riener, Andreas T1 - Balancing Transparency and Control: The Impact of Ai Explanation Detail on User Perception in Automated Vehicles T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.5027721 Y1 - 2024 UR - https://dx.doi.org/10.2139/ssrn.5027721 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Göbel, Jan-Philipp A1 - Mertens, Jan Cedric A1 - Riener, Andreas T1 - Evaluating Alcohol-Induced Impairment: A Comprehensive Study on Objective Tests and Subjective Self-Perception T2 - 2025 IEEE International Conference on Vehicular Electronics and Safety (ICVES) UR - https://doi.org/10.1109/ICVES65691.2025.11376306 Y1 - 2026 UR - https://doi.org/10.1109/ICVES65691.2025.11376306 SN - 978-1-6654-7778-9 SP - 73 EP - 80 PB - IEEE CY - Piscataway ER - TY - INPR A1 - Mosaferchi, Saeedeh A1 - Riener, Andreas A1 - Mortezapoursoufiani, Alireza A1 - Naddeo, Alessandro T1 - Enhancing UX in Automated Vehicles through Biophilic Interfaces: Insights from Prospective End Users T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.5359199 Y1 - 2025 UR - https://dx.doi.org/10.2139/ssrn.5359199 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Riegler, Andreas A1 - Riener, Andreas A1 - Holzmann, Clemens T1 - A Systematic Review of Augmented Reality Applications for Automated Driving: 2009–2020 JF - Presence: Teleoperators and Virtual Environments UR - https://doi.org/10.1162/pres_a_00343 Y1 - 2019 UR - https://doi.org/10.1162/pres_a_00343 SN - 1054-7460 SN - 1531-3263 VL - 28 SP - 87 EP - 126 PB - MIT Press CY - Cambridge ER - TY - CHAP A1 - Irawati, Diah Ayu A1 - Bolukbasi, Elif A1 - Riener, Andreas ED - Sorce, Salvatore ED - Elagroudy, Passant ED - Khamis, Mohamed T1 - Advancing Generative AI Collaboration in Design-to-Code Workflows: Insights from Two Empirical Studies T2 - Proceedings of MUM 2025: The 24th International Conference on Mobile and Ubiquitous Multimedia N2 - For expert users to accept Generative AI (GenAI) as a true collaborative partner, it must move beyond simple task-awareness to an understanding of their workflow’s underlying structural rules. This paper introduces a paradigm for AI collaborators that moves beyond simple task awareness to an understanding of the semantic and hierarchical relationships within a component-based system. We investigate this concept within the context of the design-to-code workflow, where inefficiencies arise from the modification of components within design systems. Through two empirical studies with designers and developers, we found that GenAI output was often rejected because it violated the component hierarchy. Designers required granular and visual control for refinements, whereas developers valued automated setup but required transparent validation of the generated code’s logic. Based on these findings, we contribute design guidelines for achieving Component-Structure Awareness (CSA), with two core principles: the Atomic Recommender, which provides assistance that respects the component hierarchy, and Communication Archetypes, which allow GenAI to adapt its interaction style to the user’s role and the atomic nature of their task. This work provides a new, higher-level concept for designing the next generation of truly collaborative GenAI agents. UR - https://doi.org/10.1145/3771882.3771913 Y1 - 2025 UR - https://doi.org/10.1145/3771882.3771913 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-64848 SN - 979-8-4007-2015-4 SP - 33 EP - 46 PB - ACM CY - New York ER - TY - JOUR A1 - Peintner, Jakob A1 - Manger, Carina A1 - Berger, Melanie A1 - Riener, Andreas T1 - Balancing transparency and control: The impact of AI explanation detail on user perception in automated vehicles JF - Transportation Research Interdisciplinary Perspectives N2 - As automated vehicle technology advances, explainable AI has emerged as a critical tool to enable users to understand and predict the behavior of AI systems, particularly in safety-critical applications such as automated driving. However, increased transparency in AI explanations may inadvertently contribute to an “illusion of control”, a cognitive bias in which drivers overestimate their influence or understanding of the AI’s actions. We aim to better understand how the level of detail in AI explanations affects users of automated vehicles. In a virtual reality study, N = 44 participants experienced different explanation levels (low, medium, high) in an automated ride (SAE L4) compared to a baseline condition with no explanations. The results show a significant improvement in participants’ user experience, acceptance, and explanation satisfaction, with more detailed explanations. Our findings also indicate that as AI explanations become more detailed, users’ perceived level of control increases significantly, although this perception does not correlate with actual control capabilities. At the same time, it decreased their desire to take control, indicating users’ susceptibility to the ’illusion of control’ bias in the context of automated driving. Overall, this suggests that the design of explanation interfaces should strive for a balanced level of detail that promotes AI transparency without causing cognitive overload. At the same time, explainable AI can be utilized to decrease users’ desire to intervene in the AI’s actions. UR - https://doi.org/10.1016/j.trip.2025.101742 Y1 - 2025 UR - https://doi.org/10.1016/j.trip.2025.101742 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-64740 SN - 2590-1982 VL - 2025 IS - 34 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Göbel, Jan-Philipp A1 - Mertens, Jan Cedric A1 - Riener, Andreas ED - Muštra, Mario ED - Vuković, Josip ED - Božek, Jelena T1 - Benchmarking the MQ-3 Gas Sensor for Alcohol Impairment Detection: Insights from a Driving Simulator Study T2 - Proceedings of ELMAR-2025: 67th International Symposium ELMAR-2025, 15-17 September 2025, Zadar, Croatia UR - https://doi.org/10.1109/ELMAR66948.2025.11194001 Y1 - 2025 UR - https://doi.org/10.1109/ELMAR66948.2025.11194001 SN - 979-8-3315-9679-8 SP - 77 EP - 84 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Preiwisch, Anna A1 - Riener, Andreas T1 - Exploring Human Abuse of Automated Vehicles: A Review Framed by Robot Abuse Research T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3758491 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3758491 SN - 979-8-4007-2014-7 SP - 114 EP - 119 PB - ACM CY - New York ER - TY - CHAP A1 - Önbaş, Tuğcan A1 - Gerber, Michael A. A1 - Riener, Andreas T1 - Context-Aware Take-Over Requests for Promoting Emergency Corridor Formation in Level 3 Automated Vehicles T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3756855 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3756855 SN - 979-8-4007-2014-7 SP - 342 EP - 344 PB - ACM CY - New York ER - TY - CHAP A1 - Solombrino, Laetitia Pina-Lydia A1 - Gerber, Michael A. A1 - Riener, Andreas T1 - Dynamic Head-Up Display Design: Cognitive Load as a Parametric Driver T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3756861 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3756861 SN - 979-8-4007-2014-7 SP - 362 EP - 364 PB - ACM CY - New York ER - TY - CHAP A1 - Berger, Melanie A1 - Ebel, Patrick A1 - Riener, Andreas A1 - Alvarez, Ignacio A1 - Wintersberger, Philipp A1 - Sadeghian, Shadan T1 - Sustainable by Design: A Workshop on Life-Cycle-Aware Future Mobility T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3749137 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3749137 SN - 979-8-4007-2014-7 SP - 306 EP - 309 PB - ACM CY - New York ER - TY - CHAP A1 - Mohamed, Nourhan A1 - Gerber, Michael A. A1 - Riener, Andreas T1 - Investigation of Habituation Effects of Visual Variations of Cues to the Fallback-Driver for Automated Level 3 Vehicles T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3756862 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3756862 SN - 979-8-4007-2014-7 SP - 365 EP - 368 PB - ACM CY - New York ER - TY - CHAP A1 - Karur, Krishna Sahithi A1 - Riener, Andreas A1 - Alvarez, Ignacio A1 - Wintersberger, Philipp A1 - Park, Jeongeun A1 - Lee, Seulchan T1 - 1st Workshop on Exploring the Potential of XAI and HMI to Alleviate Ethical, Legal, and Social Conflicts in Automated Vehicles T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3749143 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3749143 SN - 979-8-4007-2014-7 SP - 295 EP - 297 PB - ACM CY - New York ER - TY - CHAP A1 - Rollwagen, Alice A1 - Alvarez, Ignacio A1 - Riener, Andreas T1 - Reality Check: Real-World Observations of State-of-the-Art Driver Assistance Systems T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3758487 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3758487 SN - 979-8-4007-2014-7 SP - 88 EP - 93 PB - ACM CY - New York ER - TY - CHAP A1 - Peintner, Jakob A1 - Manger, Carina A1 - Alvarez, Ignacio A1 - Riener, Andreas T1 - Enhancing Pedestrian Realism in Adverse-Weather Driving Simulations Using Motion Capture Data T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3758507 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3758507 SN - 979-8-4007-2014-7 SP - 214 EP - 219 PB - ACM CY - New York ER - TY - CHAP A1 - Raghvani, Vidhi A1 - Gerber, Michael A. A1 - Riener, Andreas T1 - Inclusive Vehicle Dashboard Design: Supporting Neuro diverse ADHD Drivers Through Visual Simplicity T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3756860 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3756860 SN - 979-8-4007-2014-7 SP - 359 EP - 361 PB - ACM CY - New York ER - TY - CHAP A1 - Manger, Carina A1 - Preiwisch, Anna A1 - Riener, Andreas T1 - Invisible Barriers: Understanding and Supporting the Mobility Needs and Challenges of Individuals with Mental Health Conditions T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3758489 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3758489 SN - 979-8-4007-2014-7 SP - 100 EP - 105 PB - ACM CY - New York ER - TY - JOUR A1 - Manger, Carina A1 - Vogl, Annalena A1 - Riener, Andreas T1 - Cognitive Biases in User Interaction with Automated Vehicles: The Influence of Explainability and Mental Models JF - Applied Sciences N2 - To develop truly human-centered automated systems, it is essential to acknowledge that human reasoning is prone to systematic deviations from rational judgment, known as Cognitive Biases. The present study investigated such flawed reasoning in the context of automated driving. In a multi-step study with N = 34 participants, the occurrence of four Cognitive Biases was examined: Truthiness Effect, Automation Bias, Action Bias, and Illusory Control. Additionally, the study explored how the Explainability of the automation’s behavior and the driver’s Mental Model influenced the manifestation of these biases. The findings indicate a notable susceptibility to the Truthiness Effect and Illusory Control, although all biases appeared highly dependent on the specific driving context. Moreover, Explainability strongly impacted the perceived credibility of information and participants’ agreement with the system’s behavior. Given the exploratory nature of the study, this work aims to initiate a discussion on how Cognitive Biases shape human reasoning and decision-making in interactions with automated vehicles. Based on the results, several directions for future research are proposed: (1) investigation of additional cognitive biases, (2) analysis of biases across different levels of automation, (3) exploration of mitigation strategies versus deliberate use of biases, (4) examination of dynamic and context-dependent manifestations, and (5) validation in high-fidelity simulations or real-world settings. UR - https://doi.org/10.3390/app152011030 Y1 - 2025 UR - https://doi.org/10.3390/app152011030 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-63831 SN - 2076-3417 VL - 15 IS - 20 PB - MDPI CY - Basel ER - TY - JOUR A1 - Kolff, Maurice A1 - Himmels, Chantal A1 - Venrooij, Joost A1 - Parduzi, Arben A1 - Pool, Daan M. A1 - Riener, Andreas A1 - Mulder, Max T1 - Effect of motion mismatches on ratings of motion incongruence and simulator sickness in urban driving simulations JF - Transportation Research Part F: Traffic Psychology and Behaviour N2 - This paper investigates the effects of motion mismatches on simulator sickness and subjective ratings of the motion. In an open-loop driving simulator experiment, participants were driven through a recorded urban drive twelve times, in which mismatches were induced by manipulating the following three aspects in motion cueing: (i) mismatches in specific vehicle axes, (ii) mismatch types (scaling, missing, and false cues), and (iii) inconsistent scaling between different motion axes. Subjects (N=52) reported simulator sickness post-hoc (after each drive), as well as continuously during each drive, a first in simulator sickness research. Furthermore, subjective post-hoc motion incongruence ratings on the quality of the motion were extracted. Results show that longitudinal motion mismatches lead to the most simulator sickness and the highest ratings, followed by mismatches in lateral motion, then yaw rate. False cues induce the most sickness, followed by missing and then scaled motion. Inconsistent scaling between the axes has no significant effect. The continuous sickness ratings support that the occurrence and severity of simulator sickness are indeed related to mismatches in simulator motion of specific maneuvers. This paper contributes to an improved understanding of the relationship between simulator motion and sickness, allowing for more targeted motion cueing strategies to prevent and reduce sickness in driving simulators. These strategies may include the appropriate selection of the simulator, the motion cueing, and the sample of participants, following the presented results. UR - https://doi.org/10.1016/j.trf.2025.103370 Y1 - 2025 UR - https://doi.org/10.1016/j.trf.2025.103370 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-63433 SN - 1873-5517 VL - 2025 IS - 115 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Müller, Hannah Maria A1 - Valsangkar, Natalie Sachin A1 - Rashid, Warda A1 - Bhanderi, Smit A1 - Berghegger, Lukas Peter A1 - Kolhe, Ritvik Rajiv A1 - Malik, Maham A1 - Sukani, Meetkumar A1 - Volkan, Berde A1 - Riener, Andreas T1 - Ride Recall: An Aftermarket Item-Reminder System for Shared & Rented Cars T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3756858 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3756858 SN - 979-8-4007-2014-7 SP - 352 EP - 355 PB - ACM CY - New York ER - TY - CHAP A1 - Yu, Hang A1 - Shedge, Krishnakant A1 - Mohamed, Nourhan A1 - Samak, Nada A1 - Binsad, Waleed A1 - Bhosale, Simantini A1 - Kim, Eunji A1 - Kondvilkar, Shreya A1 - Riener, Andreas T1 - AwareDoor: Enhancing Vehicle-Exit Safety via Multimodal Risk Communication T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3756856 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3756856 SN - 979-8-4007-2014-7 SP - 345 EP - 348 PB - ACM CY - New York ER - TY - CHAP A1 - Peintner, Jakob A1 - Malve, Bhavana A1 - Sadeghian, Shadan A1 - Riener, Andreas T1 - Driving Together: An Analysis of Passengers' Needs and Desire for Cooperative Control in Automated Vehicles T2 - MuC´25: Proceedings of the 2025 Conference on Mensch und Computer N2 - Driving automation aims to enhance comfort, safety, and traffic flow by removing the human driver from the control loop. However, the human experience of commuting involves more than just reaching a destination or assuming the role of a driver. Factors like personal driving style and courtesy towards fellow road users are integral to the driving experience but often overlooked in the development of driving algorithms for automated vehicles. In this study, we explored the needs of passengers in highly automated vehicles. A qualitative use case analysis was conducted (N=16). In a second study, N=15 participants experienced the resulting use cases in an automated vehicle. In these scenarios, they were able to interact with the automation through a cooperation HMI. Results indicate that most participants expressed a desire for cooperative driving, albeit varying with the driving situation. Moreover, allowing cooperation improves passengers’ overall experience by satisfying psychological needs for autonomy, security, competence, and relatedness. UR - https://doi.org/10.1145/3743049.3743061 Y1 - 2025 UR - https://doi.org/10.1145/3743049.3743061 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-62112 SN - 979-8-4007-1582-2 SP - 333 EP - 344 PB - ACM CY - New York ER - TY - CHAP A1 - Mosaferchi, Saeedeh A1 - Riener, Andreas A1 - Najafi-Ghobadi, Khadijeh A1 - Li, Tingnan A1 - Naddeo, Alessandro T1 - Shaping Affective Trust in Automated Vehicles: The Interplay of Initial Trust, Gender, and Biophilic Design T2 - 2025 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV64158.2025.11097605 Y1 - 2025 UR - https://doi.org/10.1109/IV64158.2025.11097605 SN - 979-8-3315-3803-3 SP - 1293 EP - 1298 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Escher, Bengt A1 - Herde, Jonas A1 - Nikolai, Florian A1 - Riener, Andreas T1 - Regulating Teleoperation on Public Roads: Key Takeaways From an Expert Workshop T2 - 2025 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV64158.2025.11097504 Y1 - 2025 UR - https://doi.org/10.1109/IV64158.2025.11097504 SN - 979-8-3315-3803-3 SP - 2601 EP - 2606 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Haimerl, Mathias A1 - Radetzky, Laura A1 - Brenner, Evi Stefanie A1 - Strapak, Viktoria A1 - Riener, Andreas T1 - Leveling the Playing Field BT - Neurodiversity in Research using the Potential of Gamified Questionnaires T2 - MuC´25: Proceedings of the 2025 Conference on Mensch und Computer N2 - Participating in studies with lengthy questionnaires can be exhausting, especially for individuals with disabilities or neurodivergent individuals. Gamification can potentially enhance user experience (UX) and, thus, create a more inclusive engagement with studies. This study investigates gamified studies’ UX for neurodivergent persons. A gamified version of the Quality of Life Enjoyment and Satisfaction Questionnaire – Short Form (Q-LES-Q-SF) was created using motivational theory and the gamification frameworks Marczewski’s Periodic Table of Gamification Elements and Gamification User Types Hexad Scale. First results of a preliminary comparative survey with N = 72 (gamified n = 31) suggest that gamification increases the UX for neurodivergent participants. UR - https://doi.org/10.1145/3743049.3748578 Y1 - 2025 UR - https://doi.org/10.1145/3743049.3748578 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-61794 SN - 979-8-4007-1582-2 SP - 659 EP - 667 PB - ACM CY - New York ER - TY - CHAP A1 - Rollwagen, Alice A1 - Horn, Alexander A1 - Schmidtner, Stefanie A1 - Riener, Andreas T1 - Communicating Uncertainty in Arrival Time Predictions for Public Transport: A Comparison of Point and Interval Forecasts T2 - MuC´25: Proceedings of the 2025 Conference on Mensch und Computer N2 - In public transport, arrival times are typically communicated as point forecasts, aiming to present precise estimates. However, current prediction models are unable to provide such precise and reliable estimates due to unpredictable events. This results in arrival times on passenger information systems appearing inaccurate due to the lack of communicated uncertainty. We therefore investigated interval forecasts as an alternative in an online study, aiming to better communicate uncertainty in arrival times. Our findings indicate that interval forecasts improve the communication of uncertainty. Further, user satisfaction was driven primarily by waiting time, and this relationship was moderated by the forecast concept. Point forecasts were only well received when the bus arrived as predicted, otherwise users preferred the broader interval forecasts. Participants valued accuracy over precision when judging arrival times. UR - https://doi.org/10.1145/3743049.3748542 Y1 - 2025 UR - https://doi.org/10.1145/3743049.3748542 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-61783 SN - 979-8-4007-1582-2 SP - 515 EP - 519 PB - ACM CY - New York ER - TY - CHAP A1 - Neufeld, Lisa A1 - Heim, Elena A1 - Klinger, Madita Joy A1 - Himmels, Chantal A1 - Böck, Henrike A1 - Riener, Andreas T1 - Beats vs. Talks: Alleviating Virtual Reality Sickness with Music and Podcasts T2 - MuC´25: Proceedings of the 2025 Conference on Mensch und Computer N2 - As virtual reality (VR) technology advances, its potential for widespread application increases. However, VR sickness (VRS) remains a major obstacle to broader adoption. This study investigates the effect of auditory stimuli on VRS during VR experiences. It contrasts the effects of music and podcasts, with a no-sound environment serving as reference. Twenty-three participants experienced three different auditory conditions during a VR roller coaster ride in a randomized, balanced order. VRS was quantified using the Simulator Sickness Questionnaire (SSQ) and physiological data. The SSQ results indicate that music significantly reduced oculomotor disturbances and disorientation, while podcasts had no positive effects. The physiological data demonstrated no significant effects. The majority of participants preferred the music scenario, describing it as relaxing and pleasant. This highlights the potential of music, especially when self-selected and perceived as pleasant, to improve VR experience by significantly reducing VRS. This effect appears to be independent of physiological data. UR - https://doi.org/10.1145/3743049.3748539 Y1 - 2025 UR - https://doi.org/10.1145/3743049.3748539 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-61776 SN - 979-8-4007-1582-2 SP - 488 EP - 493 PB - ACM CY - New York ER - TY - CHAP A1 - Appel, Patricia B. A1 - Böck, Henrike A1 - Hompf, Filippa Viktoria Franziska A1 - Plümer, Kolja Sam A1 - Russ, Sarah A1 - Riener, Andreas T1 - Understanding Bystander Preferences for Medical Emergency Support Measures in VR-Simulated eVTOL Flights T2 - MuC´25: Proceedings of the 2025 Conference on Mensch und Computer N2 - With the emergence of Urban Air Mobility (UAM), eVTOLs are set to revolutionize the way of traveling. However, there will be situations where things do not go as planned, such as medical emergencies during a flight. Due to the lack of cabin crew, tailored support measures must be identified to ensure passenger safety and well-being. To explore how potential passengers perceive medical emergencies on board as bystanders and what kind of assistance they expect, we conducted a VR study. The results show significant increases in negative emotions during a medical in-flight emergency. Moreover, support measures involving human interaction were rated significantly higher than those relying solely on information displayed on onboard screens. Particularly well-received were pilot announcements. For UAM to enter the market successfully, it is essential to address passenger needs in critical situations. Our findings provide valuable insights into shaping effective and user-centered emergency support strategies for eVTOL operations. UR - https://doi.org/10.1145/3743049.3748549 Y1 - 2025 UR - https://doi.org/10.1145/3743049.3748549 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-61761 SN - 979-8-4007-1582-2 SP - 755 EP - 760 PB - ACM CY - New York ER - TY - CHAP A1 - Decaro, Gianluca A1 - Bogarin Heurich, Sofia A1 - Appel, Patricia B. A1 - Kul, Sergen A1 - Riener, Andreas T1 - Too Close for Comfort? The Impact of eVTOL-Overflights in Residential Areas on Non-Users' Acceptance T2 - MuC´25: Proceedings of the 2025 Conference on Mensch und Computer N2 - Urban Air Mobility (UAM) has the potential to revolutionize commuting by allowing passengers to travel quickly and efficiently within and between cities and airports. However, this innovation also raises concerns for residents on the ground, who are expected to tolerate frequent eVTOL overflights above their homes - an issue that this paper seeks to address. To investigate acceptance of eVTOLs from the perspective of residents on the ground being overflown at 1000 ft, 1500 ft, and 2000 ft, a virtual reality study was conducted. Results showed significant differences in emotions, the feeling of being disturbed by the noise, the spatial proximity, and the presence of the eVTOL in lower altitudes. Additionally, privacy concerns were expressed. The findings help the scientific community and regulators in developing guidelines for operating eVTOLs in residential areas in an acceptable manner for non-passengers. UR - https://doi.org/10.1145/3743049.3748548 Y1 - 2025 UR - https://doi.org/10.1145/3743049.3748548 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-61755 SN - 979-8-4007-1582-2 SP - 744 EP - 748 PB - ACM CY - New York ER - TY - CHAP A1 - Kundinger, Thomas A1 - Riener, Andreas A1 - Sofra, Nikoletta ED - Burghardt, Manuel ED - Wimmer, Raphael ED - Wolff, Christian ED - Womser-Hacker, Christa T1 - A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data T2 - Mensch und Computer 2017 - Workshopband UR - https://doi.org/10.18420/muc2017-ws09-0307 Y1 - 2017 UR - https://doi.org/10.18420/muc2017-ws09-0307 SP - 433 EP - 440 PB - Gesellschaft für Informatik CY - Regensburg ER - TY - CHAP A1 - Epple, Nico A1 - Chopra, Harshit A1 - Riener, Andreas T1 - How Do Drivers Observe Surrounding Vehicles in Real-World Traffic? Estimating the Drivers Primary Observed Traffic Objects T2 - 2021 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV48863.2021.9575202 Y1 - 2021 UR - https://doi.org/10.1109/IV48863.2021.9575202 SN - 978-1-7281-5394-0 SP - 594 EP - 601 PB - IEEE CY - Piscataway ER - TY - INPR A1 - Flohr, Lukas A. A1 - Schuß, Martina A1 - Wallach, Dieter P. A1 - Krüger, Antonio A1 - Riener, Andreas T1 - Designing for Passengers’ Information Needs on Fellow Travelers: A Comparison of Day and Night Rides in Shared Automated Vehicles N2 - Shared automated mobility-on-demand promises efficient, sustainable, and flexible transportation. Nevertheless, security concerns, resilience, and their mutual influence - especially at night - will likely be the most critical barriers to public adoption since passengers have to share rides with strangers without a human driver on board. As related work points out that information about fellow travelers might mitigate passengers' concerns, we designed two user interface variants to investigate the role of this information in an exploratory within-subjects user study (N = 24). Participants experienced four automated day and night rides with varying personal information about co-passengers in a simulated environment. The results of the mixed-method study indicate that having information about other passengers (e.g., photo, gender, and name) positively affects user experience at night. In contrast, it is less necessary during the day. Considering participants' simultaneously raised privacy demands poses a substantial challenge for resilient system design. UR - https://doi.org/10.48550/arXiv.2308.02616 Y1 - 2023 UR - https://doi.org/10.48550/arXiv.2308.02616 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-59892 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Rosbach, Emely A1 - Ammeling, Jonas A1 - Krügel, Sebastian A1 - Kießig, Angelika A1 - Fritz, Alexis A1 - Ganz, Jonathan A1 - Puget, Chloé A1 - Donovan, Taryn A1 - Klang, Andrea A1 - Köller, Maximilian C. A1 - Bolfa, Pompei A1 - Tecilla, Marco A1 - Denk, Daniela A1 - Kiupel, Matti A1 - Paraschou, Georgios A1 - Kok, Mun Keong A1 - Haake, Alexander F. H. A1 - de Krijger, Ronald R. A1 - Sonnen, Andreas F.-P. A1 - Kasantikul, Tanit A1 - Dorrestein, Gerry M. A1 - Smedley, Rebecca C. A1 - Stathonikos, Nikolas A1 - Uhl, Matthias A1 - Bertram, Christof A1 - Riener, Andreas A1 - Aubreville, Marc T1 - "When TwoWrongs Don’t Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology UR - https://doi.org/10.48550/arXiv.2411.01007 Y1 - 2024 UR - https://doi.org/10.48550/arXiv.2411.01007 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Rosbach, Emely A1 - Ganz, Jonathan A1 - Ammeling, Jonas A1 - Riener, Andreas A1 - Aubreville, Marc T1 - Automation Bias in AI-Assisted Medical Decision-Making under Time Pressure in Computational Pathology UR - https://doi.org/10.48550/arXiv.2411.00998 Y1 - 2024 UR - https://doi.org/10.48550/arXiv.2411.00998 ER - TY - JOUR A1 - Himmels, Chantal A1 - Buchner, Claudia A1 - Schmitz, Jan A1 - Parduzi, Arben A1 - Riener, Andreas T1 - Validity of Driver Assistance Systems in Driving Simulators: A Comparative Study of Real-World Driving and Two Simulator Environments JF - International Journal of Human–Computer Interaction UR - https://doi.org/10.1080/10447318.2025.2495120 Y1 - 2025 UR - https://doi.org/10.1080/10447318.2025.2495120 SN - 1044-7318 VL - 41 IS - 23 SP - 15197 EP - 15214 PB - Taylor & Francis CY - London ER - TY - JOUR A1 - Göbel, Jan-Philipp A1 - Peuckmann, Niklas A1 - Kundinger, Thomas A1 - Riener, Andreas T1 - Fusion of Driving Behavior and Monitoring System in Scenarios of Driving Under the Influence: An Experimental Approach JF - Applied Sciences N2 - Driving under the influence of alcohol (DUI) remains a leading cause of accidents globally, with accident risk rising exponentially with blood alcohol concentration (BAC). This study aims to distinguish between sober and intoxicated drivers using driving behavior analysis and driver monitoring system (DMS), technologies that align with emerging EU regulations. In a driving simulator, twenty-three participants (average age: 32) completed five drives (one practice and two each while sober and intoxicated) on separate days across city, rural, and highway settings. Each 30-minute drive was analyzed using eye-tracking and driving behavior data. We applied significance testing and classification models to assess the data. Our study goes beyond the state of the art by a) combining data from various sensors and b) not only examining the effects of alcohol on driving behavior but also using these data to classify driver impairment. Fusing gaze and driving behavior data improved classification accuracy, with models achieving over 70% accuracy in city and rural conditions and a Long Short-Term Memory (LSTM) network reaching up to 80% on rural roads. Although the detection rate is, of course, still far too low for a productive system, the results nevertheless provide valuable insights for improving DUI detection technologies and enhancing road safety. UR - https://doi.org/10.3390/app15105302 Y1 - 2025 UR - https://doi.org/10.3390/app15105302 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-59467 SN - 2076-3417 VL - 15 IS - 10 PB - MDPI CY - Basel ER - TY - CHAP A1 - Ehsan, Upol A1 - Watkins, Elizabeth Anne A1 - Wintersberger, Philipp A1 - Manger, Carina A1 - Hubig, Nina A1 - Savage, Saiph A1 - Weisz, Justin A1 - Riener, Andreas ED - Yamashita, Naomi ED - Evers, Vanessa ED - Yatani, Koji ED - Ding, Xianghua T1 - New Frontiers of Human-centered Explainable AI (HCXAI): Participatory Civic AI, Benchmarking LLMs, XAI Hallucinations, and Responsible AI Audits T2 - CHI’25: Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems UR - https://doi.org/10.1145/3706599.3706713 Y1 - 2025 UR - https://doi.org/10.1145/3706599.3706713 SN - 979-8-4007-1395-8 PB - ACM CY - New York ER - TY - CHAP A1 - Rosbach, Emely A1 - Ammeling, Jonas A1 - Krügel, Sebastian A1 - Kießig, Angelika A1 - Fritz, Alexis A1 - Ganz, Jonathan A1 - Puget, Chloé A1 - Donovan, Taryn A1 - Klang, Andrea A1 - Köller, Maximilian C. A1 - Bolfa, Pompei A1 - Tecilla, Marco A1 - Denk, Daniela A1 - Kiupel, Matti A1 - Paraschou, Georgios A1 - Kok, Mun Keong A1 - Haake, Alexander F. H. A1 - de Krijger, Ronald R. A1 - Sonnen, Andreas F.-P. A1 - Kasantikul, Tanit A1 - Dorrestein, Gerry M. A1 - Smedley, Rebecca C. A1 - Stathonikos, Nikolas A1 - Uhl, Matthias A1 - Bertram, Christof A1 - Riener, Andreas A1 - Aubreville, Marc ED - Yamashita, Naomi ED - Evers, Vanessa ED - Yatani, Koji ED - Ding, Xianghua ED - Lee, Bongshin ED - Chetty, Marshini ED - Toups-Dugas, Phoebe T1 - "When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology T2 - CHI'25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems N2 - Artificial intelligence (AI)-based decision support systems hold promise for enhancing diagnostic accuracy and efficiency in computational pathology. However, human-AI collaboration can introduce and amplify cognitive biases, like confirmation bias caused by false confirmation when erroneous human opinions are reinforced by inaccurate AI output. This bias may increase under time pressure, a ubiquitous factor in routine pathology, as it strains practitioners’ cognitive resources. We quantified confirmation bias triggered by AI-induced false confirmation and examined the role of time constraints in a web-based experiment, where trained pathology experts (n=28) estimated tumor cell percentages. Our results suggest that AI integration fuels confirmation bias, evidenced by a statistically significant positive linear-mixed-effects model coefficient linking AI recommendations mirroring flawed human judgment and alignment with system advice. Conversely, time pressure appeared to weaken this relationship. These findings highlight potential risks of AI in healthcare and aim to support the safe integration of clinical decision support systems. UR - https://doi.org/10.1145/3706598.3713319 Y1 - 2025 UR - https://doi.org/10.1145/3706598.3713319 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-58797 SN - 979-8-4007-1394-1 PB - ACM CY - New York ER - TY - CHAP A1 - Rosbach, Emely A1 - Ganz, Jonathan A1 - Ammeling, Jonas A1 - Riener, Andreas A1 - Aubreville, Marc ED - Palm, Christoph ED - Breininger, Katharina ED - Deserno, Thomas Martin ED - Handels, Heinz ED - Maier, Andreas ED - Maier-Hein, Klaus H. ED - Tolxdorff, Thomas T1 - Automation Bias in AI-assisted Medical Decision-making under Time Pressure in Computational Pathology T2 - Bildverarbeitung für die Medizin 2025: Proceedings, German Conference on Medical Image Computing, Regensburg March 09–11, 2025 UR - https://doi.org/10.1007/978-3-658-47422-5_27 Y1 - 2025 UR - https://doi.org/10.1007/978-3-658-47422-5_27 SN - 978-3-658-47422-5 SP - 129 EP - 134 PB - Springer Vieweg CY - Wiesbaden ER - TY - JOUR A1 - Himmels, Chantal A1 - Rock, Teresa A1 - Venrooij, Joost A1 - Riener, Andreas T1 - Presence Questionnaires in Driving Simulation JF - Presence: Virtual and Augmented Reality UR - https://doi.org/10.1162/pres_a_00372 Y1 - 2020 UR - https://doi.org/10.1162/pres_a_00372 SN - 1531-3263 VL - 29 SP - 261 EP - 275 PB - MIT Press CY - Cambridge ER - TY - CHAP A1 - Shah, Tanmesh A1 - Riener, Andreas ED - Krüger, Jule M. ED - Pedrosa, Daniela ED - Beck, Dennis ED - Bourguet, Marie-Luce ED - Dengel, Andreas ED - Ghannam, Rami ED - Miller, Alan ED - Peña-Rios, Anasol ED - Richter, Jonathon T1 - The Potential of Virtual Reality for Immersive HCI Education: Insights from an Empirical Study T2 - Immersive Learning Research Network: 10th International Conference on Immersive Learning, iLRN 2024, Glasgow, UK, June 10–13, 2024, Revised Selected Papers, Part I UR - https://doi.org/10.1007/978-3-031-80475-5_27 Y1 - 2025 UR - https://doi.org/10.1007/978-3-031-80475-5_27 SN - 978-3-031-80475-5 SP - 375 EP - 385 PB - Springer CY - Cham ER - TY - CHAP A1 - Schreiber, Luca A1 - Weißenberger, Markus A1 - Riener, Andreas ED - Krüger, Jule M. ED - Pedrosa, Daniela ED - Beck, Dennis ED - Bourguet, Marie-Luce ED - Dengel, Andreas ED - Ghannam, Rami ED - Miller, Alan ED - Peña-Rios, Anasol ED - Richter, Jonathon T1 - Creativo: Design and Evaluation of a Multi-user Collaborative Learning Environment in Virtual Reality T2 - Immersive Learning Research Network: 10th International Conference on Immersive Learning, iLRN 2024, Glasgow, UK, June 10–13, 2024, Revised Selected Papers, Part I UR - https://doi.org/10.1007/978-3-031-80475-5_31 Y1 - 2025 UR - https://doi.org/10.1007/978-3-031-80475-5_31 SN - 978-3-031-80475-5 SP - 431 EP - 445 PB - Springer CY - Cham ER - TY - JOUR A1 - von Sawitzky, Tamara A1 - Löcken, Andreas A1 - Grauschopf, Thomas A1 - Riener, Andreas T1 - Enhancing cyclist safety in cyclist-vehicle interactions through early hazard notifications: a comparison of bi-modal cues at head level JF - Traffic Safety Research N2 - Cyclists frequently face numerous hazards on the road. Often those hazards are posed by motorised vehicles. Advanced support systems that alert cyclists to potential dangers could enhance their safety. However, research in this area, particularly regarding hazard notifications for cyclists, remains sparse. This work assesses bi-modal early hazard notification concepts (combining visual cues with either auditory or tactile feedback) provided at head level (smart glasses with speakers, tactile headband). They are detailing the nature of the hazard, its direction relative to the cyclist, and the timing of exposure. This work investigates cyclists' preference and perception of the proposed concepts for two hazardous situations originating from interactions with vehicles: ‘dooring’, the hazard of a potential collision with an opening door of a parked vehicle (evaluated through a test track study, N = 32) and ‘being overtaken’ which poses the hazard of being cut off or hit by the overtaking vehicle (assessed in a bicycle simulator study, N = 21). The study involved comparisons of supported and unsupported rides, focusing on their impact on usability, intuitiveness, workload, and perceived safety. Our findings reveal varied preferences for the supporting feedback modality, with 56% favouring visual-auditory and 31% visual-tactile. The participants rated user experience, intuitiveness and perceived safety for the use of both concepts quite high. Further, the workload for assisted rides was rated as equally low as for unassisted rides. UR - https://doi.org/10.55329/bodb6366 Y1 - 2024 UR - https://doi.org/10.55329/bodb6366 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-56562 SN - 2004-3082 VL - 7 PB - Lund University CY - Lund ER - TY - JOUR A1 - Riegler, Andreas A1 - Riener, Andreas A1 - Holzmann, Clemens T1 - Augmented Reality for Future Mobility: Insights from a Literature Review and HCI Workshop JF - i-com: Journal of Interactive Media N2 - There is a growing body of research in the field of interaction between drivers/passengers and automated vehicles using augmented reality (AR) technology. Furthering the advancements and availability of AR, the number of use cases in and around vehicles rises. Our literature review reveals that in the past, AR research focussed on increasing road safety and displaying navigational aids, however, more recent research explores the support of immersive (non-)driving related activities, and finally enhance driving and passenger experiences, as well as assist other road users through external human-machine interfaces (HMIs). AR may also be the enabling technology to increase trust and acceptance in automated vehicles through explainable artificial intelligence (AI), and therefore help on the shift from manual to automated driving. We organized a workshop addressing AR in automotive human-computer interaction (HCI) design, and identified a number of challenges including human factors issues that need to be tackled, as well as opportunities and practical usages of AR in future mobility. We believe that our status-quo literature analysis and future-oriented workshop results can serve as a research agenda for user interface designers and researchers when developing automotive AR interfaces. UR - https://doi.org/10.1515/icom-2021-0029 Y1 - 2021 UR - https://doi.org/10.1515/icom-2021-0029 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-56402 SN - 2196-6826 VL - 20 IS - 3 SP - 295 EP - 318 PB - De Gruyter CY - Berlin ER - TY - CHAP A1 - Riegler, Andreas A1 - Riener, Andreas A1 - Ostermayer, Gerald T1 - From Me to We: Combining Driving Simulation and Traffic Simulation for Holistic Usability and Safety Research T2 - 15th International ACM Conference on Automotive User Interfaces: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3581961.3609840 Y1 - 2023 UR - https://doi.org/10.1145/3581961.3609840 SN - 979-8-4007-0112-2 SP - 294 EP - 296 PB - ACM CY - New York ER - TY - CHAP A1 - Böck, Henrike A1 - Appel, Patricia B. A1 - Elmelegy, Sary A1 - Hegner, Franziska A1 - Riener, Andreas T1 - Do you Feel Safe? How Weather Conditions and Time of Day Affect the Feeling of Safety in Passenger Drones T2 - 15th International ACM Conference on Automotive User Interfaces: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3581961.3609843 Y1 - 2023 UR - https://doi.org/10.1145/3581961.3609843 SN - 979-8-4007-0112-2 SP - 291 EP - 293 PB - ACM CY - New York ER - TY - CHAP A1 - von Sawitzky, Tamara A1 - Grauschopf, Thomas A1 - Riener, Andreas T1 - A Flexible Simulation Environment for Enhanced VRU Research: Use Case of Hazard Notifications for Cyclists T2 - 15th International ACM Conference on Automotive User Interfaces: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3581961.3609849 Y1 - 2023 UR - https://doi.org/10.1145/3581961.3609849 SN - 979-8-4007-0112-2 SP - 283 EP - 286 PB - ACM CY - New York ER - TY - CHAP A1 - Himmels, Chantal A1 - Burnett, Gary A1 - von Sawitzky, Tamara A1 - Merat, Natasha A1 - Riener, Andreas T1 - Reality and How to Forget about It: Increasing the Sense of Presence in Simulated Traffic Environments T2 - 15th International ACM Conference on Automotive User Interfaces: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3581961.3609833 Y1 - 2023 UR - https://doi.org/10.1145/3581961.3609833 SN - 979-8-4007-0112-2 SP - 245 EP - 248 PB - ACM CY - New York ER - TY - CHAP A1 - Manger, Carina A1 - Peintner, Jakob A1 - Hoffmann, Marion A1 - Probst, Mirella A1 - Wennmacher, Raphael A1 - Riener, Andreas T1 - Providing Explainability in Safety-Critical Automated Driving Situations through Augmented Reality Windshield HMIs T2 - 15th International ACM Conference on Automotive User Interfaces: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3581961.3609874 Y1 - 2023 UR - https://doi.org/10.1145/3581961.3609874 SN - 979-8-4007-0112-2 SP - 174 EP - 179 PB - ACM CY - New York ER - TY - CHAP A1 - Stojmenova, Kristina A1 - Lee, Seulchan A1 - Hong, Sara A1 - Schuß, Martina A1 - Sahin, Hatice A1 - Patel, Ankit R. A1 - Löcken, Andreas A1 - Dey, Debargha A1 - Riener, Andreas A1 - Mirnig, Alexander G. A1 - Jeon, Myounghoon T1 - How to Ensure Diversity and Inclusion at Conferences BT - A Workshop for General Chairs, Program Committee Members, Reviewers and Authors T2 - 15th International ACM Conference on Automotive User Interfaces: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3581961.3609838 Y1 - 2023 UR - https://doi.org/10.1145/3581961.3609838 SN - 979-8-4007-0112-2 SP - 241 EP - 244 PB - ACM CY - New York ER - TY - CHAP A1 - Appel, Patricia B. A1 - Böck, Henrike A1 - Hegner, Franziska A1 - Pfeilschifter, Claus A1 - Riener, Andreas T1 - Annoyed of Traffic Jams? Fly with FeliFly! T2 - 15th International ACM Conference on Automotive User Interfaces: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3581961.3609856 Y1 - 2023 UR - https://doi.org/10.1145/3581961.3609856 SN - 979-8-4007-0112-2 SP - 330 EP - 332 PB - ACM CY - New York ER - TY - CHAP A1 - Michahelles, Florian A1 - Riener, Andreas A1 - Grundel, Ida A1 - Boztepe, Suzan A1 - Trygg, Kristina A1 - Israel, Habakuk A1 - Pfleging, Bastian A1 - Veenstra, Mettina A1 - Wintersberger, Philipp T1 - Urban-Engage: Pioneering Urban Planning with Citizen-Driven 15-Minute City Solutions T2 - Mensch und Computer 2024 – Workshopband N2 - We propose an innovative approach to empower urban planners by integrating comprehensive and qualified citizen input into the planning of the 15-minute city (15mC) through immersive digital technologies. Our methodology includes (1) enabling citizens to annotate their real environment using augmented reality, (2) generating urban space alternatives based on generative AI and citizen annotations, (3) allowing modifications to AI-generated alternatives, (4) providing immersive 3D simulation environments for experiencing these alternatives, and (5) facilitating better negotiation between citizens and political players to identify the optimal solution. This process aims to account for diverse stakeholder interests, ensuring inclusive contributions and an experiential understanding of potential urban adaptation. UR - https://doi.org/10.18420/muc2024-mci-ws16-393 Y1 - 2024 UR - https://doi.org/10.18420/muc2024-mci-ws16-393 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-52073 PB - Gesellschaft für Informatik CY - Bonn ER - TY - JOUR A1 - Himmels, Chantal A1 - Parduzi, Arben A1 - Löcken, Andreas A1 - Protschky, Valentin A1 - Venrooij, Joost A1 - Riener, Andreas T1 - Validating risk behavior in driving simulation using naturalistic driving data JF - Transportation Research Part F: Traffic Psychology and Behaviour UR - https://doi.org/10.1016/j.trf.2024.09.026 Y1 - 2024 UR - https://doi.org/10.1016/j.trf.2024.09.026 SN - 1369-8478 SN - 1873-5517 VL - 2024 IS - 107 SP - 710 EP - 725 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Rollwagen, Alice A1 - Riener, Andreas ED - Vaculin, Ondrej T1 - Enhancing User Acceptance: Investigating Effective Approaches to Communicating Information on Automated Shuttle Buses through eHMI Concepts T2 - Applied Research Conference 2023 Conference Proceedings: 3rd July 2023 Technische Hochschule Ingolstadt UR - https://doi.org/10.57825/repo_in-5244 Y1 - 2023 UR - https://doi.org/10.57825/repo_in-5244 SP - 265 EP - 270 PB - Technische Hochschule Ingolstadt CY - Ingolstadt ER - TY - JOUR A1 - Peintner, Jakob A1 - Manger, Carina A1 - Riener, Andreas T1 - Increasing system transparency through confidence information in cooperative, automated driving JF - Behaviour & Information Technology UR - https://doi.org/10.1080/0144929X.2024.2407018 Y1 - 2024 UR - https://doi.org/10.1080/0144929X.2024.2407018 SN - 1362-3001 SN - 0144-929X VL - 44 IS - 11 SP - 2724 EP - 2741 PB - Taylor & Francis CY - London ER - TY - CHAP A1 - Manger, Carina A1 - Preiwisch, Anna A1 - Peintner, Jakob A1 - Riener, Andreas T1 - Reality Check: How Do Real-World Users Experience Current Automated Driving Systems? T2 - 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3641308.3685016 Y1 - 2024 UR - https://doi.org/10.1145/3641308.3685016 SN - 979-8-4007-0520-5 SP - 16 EP - 20 PB - ACM CY - New York ER - TY - CHAP A1 - Manger, Carina A1 - Preiwisch, Anna A1 - Peintner, Jakob A1 - Martelaro, Nikolas A1 - Krome, Sven A1 - Dey, Debargha A1 - Riener, Andreas T1 - Reality Check: Insights from Experienced Users of Current Automated Driving Systems for an Updated AutoUI Research Agenda T2 - 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3641308.3677401 Y1 - 2024 UR - https://doi.org/10.1145/3641308.3677401 SN - 979-8-4007-0520-5 SP - 249 EP - 252 PB - ACM CY - New York ER - TY - CHAP A1 - Bolukbasi, Elif A1 - Irawati, Diah Ayu A1 - Gerber, Michael A. A1 - Riener, Andreas T1 - Impact of Infotainment System Complexity on Driver Situation Awareness in Manual Vehicles T2 - 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3641308.3680518 Y1 - 2024 UR - https://doi.org/10.1145/3641308.3680518 SN - 979-8-4007-0520-5 SP - 312 EP - 315 PB - ACM CY - New York ER - TY - CHAP A1 - von Sawitzky, Tamara A1 - Wintersberger, Philipp A1 - Grauschopf, Thomas A1 - Riener, Andreas T1 - How to Indicate Multiple Potential Hazards to Cyclists on Smart Glasses? Findings from a Focus Group Discussion with Research Experts and UX Students T2 - 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3641308.3685044 Y1 - 2024 UR - https://doi.org/10.1145/3641308.3685044 SN - 979-8-4007-0520-5 SP - 178 EP - 183 PB - ACM CY - New York ER - TY - CHAP A1 - Peintner, Jakob A1 - Manger, Carina A1 - Berger, Melanie A1 - Riener, Andreas T1 - Explaining Away Control: Exploring the Relationship between Explainable AI and Passengers' Desire for Control in Automated Vehicles T2 - 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3641308.3685040 Y1 - 2024 UR - https://doi.org/10.1145/3641308.3685040 SN - 979-8-4007-0520-5 SP - 155 EP - 160 PB - ACM CY - New York ER - TY - CHAP A1 - Kamkar, Tilak A1 - Riener, Andreas T1 - Be Here Now: Development and Evaluation of Scalable eHMIs to Enhance the Attention, Perception, and Safety of Inattentive Pedestrians through Targeted Communication in Complex Traffic Scenarios T2 - 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3641308.3685051 Y1 - 2024 UR - https://doi.org/10.1145/3641308.3685051 SN - 979-8-4007-0520-5 SP - 220 EP - 225 PB - ACM CY - New York ER - TY - CHAP A1 - Irawati, Diah Ayu A1 - Bolukbasi, Elif A1 - Gerber, Michael A. A1 - Riener, Andreas T1 - The role of Explainable AI in the Design of Visual Texts for Trust Calibration in Level 3 Automated Vehicles T2 - 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3641308.3680514 Y1 - 2024 UR - https://doi.org/10.1145/3641308.3680514 SN - 979-8-4007-0520-5 SP - 300 EP - 303 PB - ACM CY - New York ER - TY - CHAP A1 - Escher, Bengt A1 - Peintner, Jakob A1 - Riener, Andreas T1 - The Significance of the Bystander Effect on Personal Responsibility in Critical Situations in Shared Automated Vehicles T2 - 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22–25, 2024, Stanford, USA, Main Conference Proceedings N2 - Shared Automated Vehicles (SAVs) present a promising solution for future urban mobility. However, SAVs will reach the limits of their capabilities in some edge cases. Similar to personal AVs, passengers in SAVs might be utilized for this purpose, thus, methods for interaction between passengers and the automation or a teleoperator need to be explored. This study investigates whether the presence of other passengers leads to more passive behavior in critical situations (bystander effect). The results did not show significant differences in the participants’ behavior depending on whether the ride was experienced alone or with other passengers. However, the qualitative data indicate that the presence of other passengers can trigger psychological processes that promote a bystander effect. The findings emphasize the importance of considering group effects in the context of SAVs. By understanding these dynamics, we aim to help design SAVs to promote safer and more inclusive future transport systems. UR - https://doi.org/10.1145/3640792.3675704 Y1 - 2024 UR - https://doi.org/10.1145/3640792.3675704 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-51643 SN - 979-8-4007-0510-6 SP - 384 EP - 394 PB - ACM CY - New York ER - TY - JOUR A1 - Schuß, Martina A1 - Pizzoni, Luca A1 - Riener, Andreas T1 - Human or robot? Exploring different avatar appearances to increase perceived security in shared automated vehicles JF - Journal on Multimodal User Interfaces N2 - AbstractShared Automated Vehicles (SAVs) promise to make automated mobility accessible to a wide range of people while reducing air pollution and improving traffic flow. In the future, these vehicles will operate with no human driver on board, which poses several challenges that might differ depending on the cultural context and make one-fits-all solutions demanding. A promising substitute for the driver could be Digital Companions (DCs), i.e. conversational agents presented on a screen inside the vehicles. We conducted interviews with Colombian participants and workshops with German and Korean participants and derived two design concepts of DCs as an alternative for the human driver on SAVs: a human-like and a robot-like. We compared these two concepts to a baseline without companion using a scenario-based online questionnaire with participants from Colombia (N = 57), Germany (N = 50), and Korea (N = 29) measuring anxiety, security, trust, risk, control, threat, and user experience. In comparison with the baseline, both DCs are statistically significantly perceived as more positively. While we found a preference for the human-like DC among all participants, this preference is higher among Colombians while Koreans show the highest openness towards the robot-like DC. UR - https://doi.org/10.1007/s12193-024-00436-x Y1 - 2024 UR - https://doi.org/10.1007/s12193-024-00436-x UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-50560 SN - 1783-8738 SN - 1783-7677 VL - 18 IS - 2-3 SP - 209 EP - 228 PB - Springer CY - Berlin ER - TY - CHAP A1 - Schuß, Martina A1 - Röhr, Tatjana A1 - Riener, Andreas ED - Maedche, Alexander ED - Beigl, Michael ED - Gerling, Kathrin ED - Mayer, Sven T1 - ‘Baymax’ or ‘RoboCop’? Exploring Different Feminine Avatar Personalities for Shared Automated Vehicles T2 - MuC'24: Proceedings of the 2024 Conference on Mensch und Computer UR - https://doi.org/10.1145/3670653.3670682 Y1 - 2024 UR - https://doi.org/10.1145/3670653.3670682 SN - 979-8-4007-0998-2 SP - 256 EP - 268 PB - ACM CY - New York ER - TY - CHAP A1 - Manger, Carina A1 - Albrecht, Kathrin A1 - Riener, Andreas ED - Maedche, Alexander ED - Beigl, Michael ED - Gerling, Kathrin ED - Mayer, Sven T1 - Explanation Needs in Automated Driving: Insights from German Driving Education and Vehicle Acquisition T2 - MuC'24: Proceedings of the 2024 Conference on Mensch und Computer N2 - As driving assistance driving systems become increasingly advanced, a correct understanding of the functionality of these systems is crucial for safe use. In this work we explored drivers’ explanation needs and current explanation methods from an important but underlooked perspective: driver training and vehicle acquisition. In a two-step approach, we conducted expert interviews with n = 7 driving instructors and vehicle salespeople in Germany and validated these results with an online survey of n = 105. Our results show that Driver Assistance Systems (DASs) and Advanced Driver Assistance Systems (ADASs), are currently covered in both driver training and vehicle acquisition but to a varying extent and in a very application-oriented manner. A drivers’ tendency for preferring comparative explanations that build upon knowledge about similar systems was found. Based on the combined results, we emphasize the need for mandatory and standardized explanation methods to ensure a safe transition to automated driving. UR - https://doi.org/10.1145/3670653.3670679 Y1 - 2024 UR - https://doi.org/10.1145/3670653.3670679 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-50497 SN - 979-8-4007-0998-2 SP - 288 EP - 298 PB - ACM CY - New York ER - TY - CHAP A1 - Escher, Bengt A1 - Peintner, Jakob A1 - Riener, Andreas T1 - Beyond Automation: Exploring Passenger Cooperation and Perception in Teleoperated Shared Automated Vehicles (SAVs) T2 - 2024 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV55156.2024.10588392 Y1 - 2024 UR - https://doi.org/10.1109/IV55156.2024.10588392 SN - 979-8-3503-4881-1 SP - 1246 EP - 1251 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Himmels, Chantal A1 - Peintner, Jakob A1 - Manger, Carina A1 - Rock, Teresa A1 - Jung, Oliver A1 - Riener, Andreas T1 - In Search of Social Presence: Evoking an Impression of Real Pedestrian Behavior Using Motion Capture T2 - 2024 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV55156.2024.10588404 Y1 - 2024 UR - https://doi.org/10.1109/IV55156.2024.10588404 SN - 979-8-3503-4881-1 SP - 82 EP - 90 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Peintner, Jakob A1 - Himmels, Chantal A1 - Rock, Teresa A1 - Manger, Carina A1 - Jung, Oliver A1 - Riener, Andreas T1 - Driving Behavior Analysis: A Human Factors Perspective on Automated Driving Styles T2 - 2024 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV55156.2024.10588527 Y1 - 2024 UR - https://doi.org/10.1109/IV55156.2024.10588527 SN - 979-8-3503-4881-1 SP - 3312 EP - 3317 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Böck, Henrike A1 - Appel, Patricia B. A1 - Eisenmann, Lena Maria A1 - Kaiser, Larissa A1 - Riener, Andreas T1 - Exploring Turbulence Impact on Passenger Experience in Urban Air Mobility: Insights from a Virtual Reality Study T2 - 2024 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV55156.2024.10588742 Y1 - 2024 UR - https://doi.org/10.1109/IV55156.2024.10588742 SN - 979-8-3503-4881-1 SP - 3114 EP - 3119 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Appel, Patricia B. A1 - Song, Ye Eun A1 - Riener, Andreas T1 - Investigating eVTOL Passenger Preferences in South Korea: Safety, Vertiport Location, and Weight T2 - 2024 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV55156.2024.10588875 Y1 - 2024 UR - https://doi.org/10.1109/IV55156.2024.10588875 SN - 979-8-3503-4881-1 SP - 3269 EP - 3275 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Schreiber, Luca A1 - Riener, Andreas A1 - Weißenberger, Markus A1 - Shah, Tanmesh T1 - Design and Evaluation of a Multifaceted Virtual Reality Learning Environment JF - IEEE Pervasive Computing UR - https://doi.org/10.1109/MPRV.2024.3380788 Y1 - 2024 UR - https://doi.org/10.1109/MPRV.2024.3380788 SN - 1558-2590 SN - 1536-1268 VL - 23 IS - 2 SP - 56 EP - 61 PB - IEEE CY - New York ER - TY - JOUR A1 - Bauder, Maximilian A1 - Paula, Daniel A1 - Pfeilschifter, Claus A1 - Petermeier, Franziska A1 - Kubjatko, Tibor A1 - Riener, Andreas A1 - Schweiger, Hans-Georg T1 - Influences of Vehicle Communication on Human Driving Reactions: A Simulator Study on Reaction Times and Behavior for Forensic Accident Analysis JF - Sensors N2 - Cooperative intelligent transport systems (C-ITSs) are mass-produced and sold in Europe, promising enhanced safety and comfort. Direct vehicle communication, known as vehicle-to-everything (V2X) communication, is crucial in this context. Drivers receive warnings about potential hazards by exchanging vehicle status and environmental data with other communication-enabled vehicles. However, the impact of these warnings on drivers and their inclusion in accident reconstruction remains uncertain. Unlike sensor-based warnings, V2X warnings may not provide a visible reason for the alert, potentially affecting reaction times and behavior. In this work, a simulator study on V2X warnings was conducted with 32 participants to generate findings on reaction times and behavior for accident reconstruction in connection with these systems. Two scenarios from the Car-2-Car Communication Consortium were implemented: “Stationary Vehicle Warning—Broken-Down Vehicle” and “Dangerous Situation—Electronic Emergency Brake Lights”. Volkswagen’s warning concept was utilized, as they are the sole provider of cooperative vehicles in Europe. Results show that V2X warnings without visible reasons did not negatively impact reaction times or behavior, with average reaction times between 0.58 s (steering) and 0.69 s (braking). No significant distraction or search for warning reasons was observed. However, additional information in the warnings caused confusion and was seldom noticed by subjects. In this study, participants responded correctly and appropriately to the shown false-positive warnings. A wrong reaction triggering an accident is possible but unlikely. Overall, V2X warnings showed no negative impacts compared with sensor-based systems. This means that there are no differences in accident reconstruction regarding the source of the warning (sensors or communication). However, it is important that it is known that there was a warning, which is why the occurrence of V2X warnings should also be saved in the EDR in the future. UR - https://doi.org/10.3390/s24144481 Y1 - 2024 UR - https://doi.org/10.3390/s24144481 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-48982 SN - 1424-8220 VL - 24 IS - 14 PB - MDPI CY - Basel ER - TY - CHAP A1 - Ehsan, Upol A1 - Watkins, Elizabeth Anne A1 - Wintersberger, Philipp A1 - Manger, Carina A1 - Kim, Sunnie S. Y. A1 - Van Berkel, Niels A1 - Riener, Andreas A1 - Riedl, Mark O ED - Mueller, Florian 'Floyd' ED - Kyburz, Penny ED - Williamson, Julie R. ED - Sas, Corina T1 - Human-Centered Explainable AI (HCXAI): Reloading Explainability in the Era of Large Language Models (LLMs) T2 - CHI'24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems UR - https://doi.org/10.1145/3613905.3636311 Y1 - 2024 UR - https://doi.org/10.1145/3613905.3636311 SN - 979-8-4007-0331-7 PB - ACM CY - New York ER - TY - CHAP A1 - Hasirlioglu, Sinan A1 - Riener, Andreas ED - Amaro Ferreira, Joao Carlos ED - Martins, Ana Lúcia ED - Monteiro, Vitor T1 - Challenges in Object Detection Under Rainy Weather Conditions T2 - Intelligent Transport Systems, From Research and Development to the Market Uptake, Second EAI International Conference, INTSYS 2018 Guimarães, Portugal, November 21–23, 2018, Proceedings UR - https://doi.org/10.1007/978-3-030-14757-0_5 Y1 - 2019 UR - https://doi.org/10.1007/978-3-030-14757-0_5 SN - 978-3-030-14757-0 SN - 978-3-030-14756-3 SP - 53 EP - 65 PB - Springer CY - Cham ER - TY - JOUR A1 - Peintner, Jakob A1 - Escher, Bengt A1 - Detjen, Henrik A1 - Manger, Carina A1 - Riener, Andreas T1 - How to Design Human-Vehicle Cooperation for Automated Driving: A Review of Use Cases, Concepts, and Interfaces JF - Multimodal Technologies and Interaction N2 - Currently, a significant gap exists between academic and industrial research in automated driving development. Despite this, there is common sense that cooperative control approaches in automated vehicles will surpass the previously favored takeover paradigm in most driving situations due to enhanced driving performance and user experience. Yet, the application of these concepts in real driving situations remains unclear, and a holistic approach to driving cooperation is missing. Existing research has primarily focused on testing specific interaction scenarios and implementations. To address this gap and offer a contemporary perspective on designing human–vehicle cooperation in automated driving, we have developed a three-part taxonomy with the help of an extensive literature review. The taxonomy broadens the notion of driving cooperation towards a holistic and application-oriented view by encompassing (1) the “Cooperation Use Case”, (2) the “Cooperation Frame”, and (3) the “Human–Machine Interface”. We validate the taxonomy by categorizing related literature and providing a detailed analysis of an exemplar paper. The proposed taxonomy offers designers and researchers a concise overview of the current state of driver cooperation and insights for future work. Further, the taxonomy can guide automotive HMI designers in ideation, communication, comparison, and reflection of cooperative driving interfaces. UR - https://doi.org/10.3390/mti8030016 KW - automated driving KW - cooperative driving KW - human–computer interaction KW - taxonomy development KW - literature survey Y1 - 2024 UR - https://doi.org/10.3390/mti8030016 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-47152 SN - 2414-4088 VL - 8 IS - 3 PB - MDPI CY - Basel ER - TY - JOUR A1 - Wintersberger, Philipp A1 - Schartmüller, Clemens A1 - Sadeghian, Shadan A1 - Frison, Anna-Katharina A1 - Riener, Andreas T1 - Evaluation of Imminent Take-Over Requests With Real Automation on a Test Track JF - Human Factors: The Journal of the Human Factors and Ergonomics Society UR - https://doi.org/10.1177/00187208211051435 Y1 - 2021 UR - https://doi.org/10.1177/00187208211051435 SN - 0018-7208 SN - 1547-8181 VL - 65 IS - 8 SP - 1776 EP - 1792 PB - SAGE CY - London ER - TY - CHAP A1 - Doric, Igor A1 - Frison, Anna-Katharina A1 - Wintersberger, Philipp A1 - Riener, Andreas A1 - Wittmann, Sebastian A1 - Zimmermann, Matheus A1 - Brandmeier, Thomas T1 - A Novel Approach for Researching Crossing Behavior and Risk Acceptance: The Pedestrian Simulator T2 - AutomotiveUI 2016, 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings UR - https://doi.org/10.1145/3004323.3004324 Y1 - 2016 UR - https://doi.org/10.1145/3004323.3004324 SN - 978-1-4503-4654-2 SP - 39 EP - 44 PB - ACM CY - New York ER - TY - CHAP A1 - Hoffer, Sabrina A1 - Lell, Alice A1 - Maral, Muhammed A1 - Rosbach, Emely A1 - Reuter, Hannah A1 - Muhammad, Muhammad A1 - Talabani-Durmus, Larin A1 - Ziegler, Carina A1 - Peintner, Jakob A1 - Riener, Andreas ED - Hirsch, L. ED - Kurz, M. ED - Wagener, N. T1 - HapTech: Intelligent controls in public spaces through mid-air haptic interaction T2 - Mensch und Computer 2023 – Workshopband UR - https://doi.org/10.18420/muc2023-mci-src-404 Y1 - 2023 UR - https://doi.org/10.18420/muc2023-mci-src-404 PB - Gesellschaft für Informatik e.V. CY - Bonn ER - TY - CHAP A1 - Ambacher, Julian A1 - Fischer, Luci A1 - Gaurav, Anand Bihari A1 - Pietruschka, Maria A1 - Spreng, Leoni A1 - Wilkes, Jasmin A1 - Zimmermann, Theresa A1 - Peintner, Jakob A1 - Riener, Andreas ED - Hirsch, L. ED - Kurz, M. ED - Wagener, N. T1 - Haptic Journey: The integration of gesture-controls and mid-air haptic feedback into ticket machines to foster better hygiene in public spaces T2 - Mensch und Computer 2023 – Workshopband UR - https://doi.org/10.18420/muc2023-mci-src-403 Y1 - 2023 UR - https://doi.org/10.18420/muc2023-mci-src-403 PB - Gesellschaft für Informatik e.V. CY - Bonn ER - TY - CHAP A1 - Denk, Florian A1 - Himmels, Chantal A1 - Andreev, Vladislav A1 - Lindner, Johannes A1 - Syed, Arslan Ali A1 - Riener, Andreas A1 - Huber, Werner A1 - Kates, Ronald T1 - Studying Interactions of Motorists and Vulnerable Road Users: Empirical Comparison of Test Track and Simulator Experiments T2 - 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) UR - https://doi.org/10.1109/ITSC57777.2023.10421865 Y1 - 2024 UR - https://doi.org/10.1109/ITSC57777.2023.10421865 SN - 979-8-3503-9946-2 SP - 992 EP - 999 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Buschek, Daniel A1 - Hauptmann, Hanna A1 - Heuer, Hendrik A1 - Loepp, Benedikt A1 - Riener, Andreas A1 - Yigitbas, Enes ED - Marky, Karola ED - Grünefeld, Uwe ED - Kosch, Thomas T1 - UCAI 2022: Workshop on User-Centered Artificial Intelligence T2 - Mensch und Computer 2022 - Workshopband UR - https://doi.org/10.18420/muc2022-mci-ws12-119 Y1 - 2022 UR - https://doi.org/10.18420/muc2022-mci-ws12-119 PB - Gesellschaft für Informatik e.V. CY - Bonn ER - TY - CHAP A1 - Riegler, Andreas A1 - Song, Ye Eun A1 - von Sawitzky, Tamara A1 - Riener, Andreas ED - Bruder, Gerd ED - Olivier, Anne-Hélène ED - Cunningham, Andrew ED - Peng, Evan Yifan ED - Grubert, Jens ED - Williams, Ian T1 - Driving Cross-Reality Experiences for Future Mobility T2 - Proceedings: 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct UR - https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00009 Y1 - 2023 UR - https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00009 SP - 5 EP - 8 PB - IEEE CY - Los Alamitos ER - TY - CHAP A1 - Manger, Carina A1 - Pusch, Florian A1 - Thöne, Manuel A1 - Wenger, Marco A1 - Löcken, Andreas A1 - Riener, Andreas ED - Michahelles, Florian ED - Knierim, Pascal ED - Häkkilä, Jonna T1 - Explainability in Automated Parking: The Effect of Augmented Reality Visualizations on User Experience and Situation Awareness T2 - Proceedings of MUM 2023: the 22nd International Conference on Mobile and Ubiquitous Multimedia UR - https://doi.org/10.1145/3626705.3627796 Y1 - 2023 UR - https://doi.org/10.1145/3626705.3627796 SN - 979-8-4007-0921-0 SP - 146 EP - 152 PB - ACM CY - New York ER - TY - JOUR A1 - Paula, Daniel A1 - Bauder, Maximilian A1 - Pfeilschifter, Claus A1 - Petermeier, Franziska A1 - Kubjatko, Tibor A1 - Böhm, Klaus A1 - Riener, Andreas A1 - Schweiger, Hans-Georg T1 - Impact of Partially Automated Driving Functions on Forensic Accident Reconstruction: A Simulator Study on Driver Reaction Behavior in the Event of a Malfunctioning System Behavior JF - Sensors N2 - Partially automated driving functions (SAE Level 2) can control a vehicle’s longitudinal and lateral movements. However, taking over the driving task involves automation risks that the driver must manage. In severe accidents, the driver’s ability to avoid a collision must be assessed, considering their expected reaction behavior. The primary goal of this study is to generate essential data on driver reaction behavior in case of malfunctions in partially automated driving functions for use in legal affairs. A simulator study with two scenarios involving 32 subjects was conducted for this purpose. The first scenario investigated driver reactions to system limitations during cornering. The results show that none of the subjects could avoid leaving their lane and moving into the oncoming lane and, therefore, could not control the situation safely. Due to partial automation, we could also identify a new part of the reaction time, the hands-on time, which leads to increased steering reaction times of 1.18 to 1.74 s. The second scenario examined driver responses to phantom braking caused by AEBS. We found that 25 of the 32 subjects could not override the phantom braking by pressing the accelerator pedal, although 16 subjects were informed about the system analog to the actual vehicle manuals. Overall, the study suggests that the current legal perspective on vehicle control and the expected driver reaction behavior for accident avoidance should be reconsidered. UR - https://doi.org/10.3390/s23249785 Y1 - 2023 UR - https://doi.org/10.3390/s23249785 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-42766 SN - 1424-8220 VL - 23 IS - 24 PB - MDPI CY - Basel ER - TY - INPR A1 - Paula, Daniel A1 - Bauder, Maximilian A1 - Pfeilschifter, Claus A1 - Petermeier, Franziska A1 - Kubjatko, Tibor A1 - Böhm, Klaus A1 - Riener, Andreas A1 - Schweiger, Hans-Georg T1 - Impact of Partially Automated Driving Functions on Forensic Accident Reconstruction: A Simulator Study on Driver Reaction Behavior in the Event of a Malfunctioning System Behavior N2 - Partially automated driving functions (SAE Level 2) can control a vehicle's longitudinal and lateral movements. However, taking over the driving task involves automation risks that the driver must manage. In severe accidents, the driver's ability to avoid a collision must be assessed, considering their expected reaction behavior. The primary goal of this study is to generate essential data on driver reaction behavior in case of malfunctions in partially automated driving functions for use in legal affairs. A simulator study with two scenarios involving 32 subjects was conducted for this purpose. The first scenario investigated driver reactions to system limitations during cornering. The second scenario examined driver responses to phantom braking caused by the AEBS. As a result, the first scenario shows that none of the subjects could control the situation safely. Due to partial automation, we could also identify a new part of the reaction time, the hands-on time, which leads to increased steering reaction times of 1.18 to 1.74 seconds. In the second scenario, we found that 25 of the 32 subjects could not override the phantom braking by pressing the accelerator pedal, although 16 subjects were informed about the system analog to the actual vehicle manuals. Overall, the study suggests that the current legal perspective on vehicle control and the expected driver reaction behavior for accident avoidance should be reconsidered. UR - https://doi.org/10.20944/preprints202311.0947.v1 Y1 - 2023 UR - https://doi.org/10.20944/preprints202311.0947.v1 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-42173 PB - Preprints CY - Basel ER - TY - CHAP A1 - Escher, Bengt A1 - Manger, Carina A1 - Daou, Makram A1 - Dünninger, Theresa A1 - Riener, Andreas ED - Michahelles, Florian ED - Knierim, Pascal ED - Häkkilä, Jonna T1 - A Comparative Analysis of Preferred Communication Options of Passengers in Networked Shared Automated Vehicles T2 - Proceedings of MUM 2023: the 22nd International Conference on Mobile and Ubiquitous Multimedia UR - https://doi.org/10.1145/3626705.3631801 Y1 - 2023 UR - https://doi.org/10.1145/3626705.3631801 SN - 979-8-4007-0921-0 SP - 541 EP - 543 PB - ACM CY - New York ER - TY - CHAP A1 - Manger, Carina A1 - Peintner, Jakob A1 - Devaraju, Manoj A1 - Riener, Andreas ED - Michahelles, Florian ED - Knierim, Pascal ED - Häkkilä, Jonna T1 - Good Vibes Only: A Comparative Study of Seat Vibration Concepts for Redirecting Driver Attention During Visual Distraction T2 - Proceedings of MUM 2023: the 22nd International Conference on Mobile and Ubiquitous Multimedia UR - https://doi.org/10.1145/3626705.3631786 Y1 - 2023 UR - https://doi.org/10.1145/3626705.3631786 SN - 979-8-4007-0921-0 SP - 492 EP - 494 PB - ACM CY - New York ER - TY - CHAP A1 - Manger, Carina A1 - Preiwisch, Anna A1 - Gambirasio, Chiara A1 - Golks, Simon A1 - Schuß, Martina A1 - Riener, Andreas ED - Michahelles, Florian ED - Knierim, Pascal ED - Häkkilä, Jonna T1 - We're in This Together: Exploring Explanation Needs and Methods in Shared Automated Shuttle Buses T2 - Proceedings of MUM 2023: the 22nd International Conference on Mobile and Ubiquitous Multimedia UR - https://doi.org/10.1145/3626705.3627798 Y1 - 2023 UR - https://doi.org/10.1145/3626705.3627798 SN - 979-8-4007-0921-0 SP - 145 EP - 151 PB - ACM CY - New York ER - TY - JOUR A1 - Himmels, Chantal A1 - Weigl, Klemens A1 - Riener, Andreas A1 - Venrooij, Joost T1 - Establishing driving simulator validity: drawbacks of null-hypothesis significance testing when compared to equivalence tests and Bayes factors JF - Theoretical Issues in Ergonomics Science UR - https://doi.org/10.1080/1463922X.2023.2286478 Y1 - 2023 UR - https://doi.org/10.1080/1463922X.2023.2286478 SN - 1464-536X VL - 25 IS - 5 SP - 546 EP - 566 PB - Taylor & Francis CY - London ER - TY - CHAP A1 - Himmels, Chantal A1 - Parduzi, Arben A1 - Fischer, Martin A1 - Riener, Andreas T1 - Towards a Common Understanding of Driving Simulator Validity T2 - 15th International ACM Conference on Automotive User Interfaces: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3581961.3609895 KW - driving simulator KW - driving simulator validity KW - framework Y1 - 2023 UR - https://doi.org/10.1145/3581961.3609895 SN - 979-8-4007-0112-2 SP - 191 EP - 196 PB - ACM CY - New York ER - TY - CHAP A1 - von Sawitzky, Tamara A1 - Grauschopf, Thomas A1 - Riener, Andreas ED - Fröhlich, Peter ED - Cobus, Vanessa T1 - Supporting Cyclists through Hazard Notification Systems: Insights from the Evaluation of Notification Modalities with a Head-mounted Wearable System T2 - Mensch und Computer 2023 – Workshopband UR - https://doi.org/10.18420/muc2023-mci-ws03-469 KW - Cyclist safety KW - Hazard notification systems KW - Smart helmets KW - Connected traffic Y1 - 2023 UR - https://doi.org/10.18420/muc2023-mci-ws03-469 PB - Gesellschaft für Informatik e.V. CY - Bonn ER - TY - CHAP A1 - Himmels, Chantal A1 - Andreev, Vladislav A1 - Syed, Arslan Ali A1 - Lindner, Johannes A1 - Denk, Florian A1 - Riener, Andreas T1 - Are Head-mounted Displays Really Not Suitable for Driving Simulation? A Comparison with a Screen-Based Simulator T2 - IEEE IV 2023: Symposium Proceedings UR - https://doi.org/10.1109/IV55152.2023.10186592 KW - driving simulation KW - virtual reality KW - head-mounted display KW - simulator sickness KW - presence KW - perception Y1 - 2023 UR - https://doi.org/10.1109/IV55152.2023.10186592 SN - 979-8-3503-4691-6 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Kun, Andrew A1 - Boyle, Linda Ng A1 - Reimer, Bryan A1 - Riener, Andreas T1 - AutomotiveUI: Interacting with Technology in Vehicles JF - IEEE Pervasive Computing UR - https://doi.org/10.1109/MPRV.2013.27 KW - automotive UI KW - vehicle interfaces KW - driver distraction KW - multimodal interaction KW - navigation KW - transportation KW - pervasive computing Y1 - 2013 UR - https://doi.org/10.1109/MPRV.2013.27 SN - 1536-1268 VL - 12 IS - 2 SP - 80 EP - 82 PB - IEEE CY - New York ER - TY - CHAP A1 - Schartmüller, Clemens A1 - Riener, Andreas T1 - Field studies to investigate safety distance violation with a low-cost observation system T2 - Adjunct Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/2809730.2809741 KW - Advanced cruise control KW - Distance observations KW - Driving safety KW - On-road study Y1 - 2015 UR - https://doi.org/10.1145/2809730.2809741 SN - 978-1-4503-3858-5 SP - 106 EP - 111 PB - ACM CY - New York ER - TY - CHAP A1 - Pichler, Benjamin A1 - Riener, Andreas T1 - Evaluation of historical electric vehicle (EV) driving data to suggest improvements in driving efficiency T2 - Adjunct Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/2809730.2809756 KW - Battery electric vehicles (BEVs) KW - Behavior change KW - Charge state KW - Gamification KW - Optimizing operating distance (range) Y1 - 2015 UR - https://doi.org/10.1145/2809730.2809756 SN - 978-1-4503-3858-5 SP - 130 EP - 135 PB - ACM CY - New York ER - TY - CHAP A1 - Weigl, Klemens A1 - Schuster, Sabrina A1 - Riener, Andreas ED - Pezarat-Correia, Pedro ED - Vilas-Boas, João P. ED - Cabri, Jan T1 - Investigation of UX and Flow Experience in Sports Activities during the Covid-19 Pandemic: A Comparative Analysis of Cycling Apps T2 - icSPORTS 2021: 9th International Conference on Sport Sciences Research and Technology Support: Proceedings N2 - Since the onset of the Covid-19 pandemic, a dramatic increase in mHealth application (app) downloads has been documented. However, overall dwell retention for fitness apps is low, so gamification techniques are used within apps with the goal of positively influencing the user experience and ultimately the user’s motivation. The so-called flow, which is related to intrinsic motivation, has been little explored in the context of cycling apps. Therefore, we conducted a quasi-experimental cycling study with 34 cyclists (20 female, 14 male; 19 to 57 years old) who tested the adidas Running by Runtastic (Adidas Runtastic), Komoot, and Strava cycling apps during a 20-minute bike ride. After testing each cycling app, they completed the User Experience Questionnaire (UEQ) and the Flow State Scale-2 Short (FSS-2S). Our results showed no significant differences across the six factors of the UEQ, nor across the total score of the FSS-2S. Thus, we conclude that the three cycling apps Adidas Runta stic, Komoot, and Strava are perceived and rated almost equally by female and male cyclists. UR - https://doi.org/10.5220/0010688200003059 KW - Outdoor Cycling KW - Smartphone Apps KW - eSports KW - User Experience (UX) KW - Flow KW - Motivation Y1 - 2021 UR - https://doi.org/10.5220/0010688200003059 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-40338 SN - 978-989-758-539-5 SN - 2184-3201 SP - 68 PB - SciTePress CY - Setúbal ER -