TY - JOUR A1 - Kundinger, Thomas A1 - Yalavarthi, Phani Krishna A1 - Riener, Andreas A1 - Wintersberger, Philipp A1 - Schartmüller, Clemens T1 - Feasibility of smart wearables for driver drowsiness detection and its potential among different age groups JF - International Journal of Pervasive Computing and Communications UR - https://doi.org/10.1108/IJPCC-03-2019-0017 KW - wearable devices KW - physiological measures KW - driver drowsiness detection KW - advanced driver assistance systems (ADAS) KW - simulator study KW - active safety KW - driver monitoring KW - heart rate variability (HRV) KW - machine learning Y1 - 2020 UR - https://doi.org/10.1108/IJPCC-03-2019-0017 SN - 1742-7371 VL - 16 IS - 1 SP - 1 EP - 23 PB - Emerald CY - Bingley ER - TY - JOUR A1 - Hasirlioglu, Sinan A1 - Riener, Andreas T1 - A General Approach for Simulating Rain Effects on Sensor Data in Real and Virtual Environments JF - IEEE Transactions on Intelligent Vehicles UR - https://doi.org/10.1109/TIV.2019.2960944 KW - Environmental perception KW - computer vision KW - sensors KW - simulation KW - adverse weather KW - automated vehicles Y1 - 2019 UR - https://doi.org/10.1109/TIV.2019.2960944 SN - 2379-8904 VL - 5 IS - 3 SP - 426 EP - 438 PB - IEEE CY - New York ER - TY - JOUR A1 - von Sawitzky, Tamara A1 - Grauschopf, Thomas A1 - Riener, Andreas T1 - “Attention! A Door Could Open.”—Introducing Awareness Messages for Cyclists to Safely Evade Potential Hazards JF - Multimodal Technologies and Interaction N2 - Numerous statistics show that cyclists are often involved in road traffic accidents, often with serious outcomes. One potential hazard of cycling, especially in cities, is “dooring”—passing parked vehicles that still have occupants inside. These occupants could open the vehicle door unexpectedly in the cyclist’s path—requiring a quick evasive response by the cyclist to avoid a collision. Dooring can be very poorly anticipated; as a possible solution, we propose in this work a system that notifies the cyclist of opening doors based on a networked intelligent transportation infrastructure. In a user study with a bicycle simulator (N = 24), we examined the effects of three user interface designs compared to a baseline (no notifications) on cycling behavior (speed and lateral position), perceived safety, and ease of use. Awareness messages (either visual message, visual message + auditory icon, or visual + voice message) were displayed on a smart bicycle helmet at different times before passing a parked, still-occupied vehicle. Our participants found the notifications of potential hazards very easy to understand and appealing and felt that the alerts could help them navigate traffic more safely. Those concepts that (additionally) used auditory icons or voice messages were preferred. In addition, the lateral distance increased significantly when a potentially opening door was indicated. In these situations, cyclists were able to safely pass the parked vehicle without braking. In summary, we are convinced that notification systems, such as the one presented here, are an important component for increasing road safety, especially for vulnerable road users. UR - https://doi.org/10.3390/mti6010003 KW - accident prevention KW - awareness message KW - connected traffic KW - cycling KW - head-mounted display KW - lateral position KW - simulation KW - vulnerable road users Y1 - 2021 UR - https://doi.org/10.3390/mti6010003 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13079 SN - 2414-4088 VL - 6 IS - 1 PB - MDPI CY - Basel 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - Ju, Wendy A1 - Pfleging, Bastian A1 - Riener, Andreas ED - Ju, Wendy ED - Pfleging, Bastian ED - Riener, Andreas T1 - Radical Innovation and Design for Connected and Automated Vehicles JF - Dagstuhl Reports N2 - This report documents the program and the outcomes of Dagstuhl Seminar 22222 “Radical Innovation and Design for Connected and Automated Vehicles”. Automated driving will most likely be the next big change in individual mobility. While research is still primarily concerned with technical challenges of Automated Driving Systems (ADS), HCI researchers and designers already started to develop concepts on how to use privately owned ADS as a space for non-driving-related activities, going beyond what is possible today. There is, however, room to think about creative ways to use automated vehicles (AV) and connected technology towards the public interest beyond incremental changes, which is what we addressed in this seminar. We challenged the current generative/evaluative research approach for automated driving systems against a radical innovations attempt and questioned whether the current incremental research approach is appropriate for the development of future vehicles. As an integral part of the seminar we wanted participants to learn from each other and to disseminate each individual’s experience for boosting subsequent research by trying out different methods that support the “out of the box” thinking (e.g., brainwriting, bodystorming, focus groups, World Café, amongst others). UR - https://doi.org/10.4230/DagRep.12.5.188 KW - Racidal Innovation KW - Automated Driving KW - Future Mobility KW - Sustainability Y1 - 2022 UR - https://doi.org/10.4230/DagRep.12.5.188 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-40255 SN - 2192-5283 VL - 12 IS - 5 SP - 188 EP - 230 PB - Schloss Dagstuhl CY - Dagstuhl 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 - Riener, Andreas A1 - Jeon, Myounghoon A1 - Alvarez, Ignacio A1 - Pfleging, Bastian A1 - Mirnig, Alexander G. A1 - Tscheligi, Manfred A1 - Chuang, Lewis T1 - 1st Workshop on Ethically Inspired User Interfaces for Automated Driving T2 - AutomotiveUI 2016, 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings UR - https://doi.org/10.1145/3004323.3005687 KW - Automated Driving KW - Asimov´s laws KW - Trolley problem KW - Driver-vehicle interfaces KW - User acceptance and trust KW - Desicion making KW - Negotiation algorithms Y1 - 2016 UR - https://doi.org/10.1145/3004323.3005687 SN - 978-1-4503-4654-2 SP - 217 EP - 220 PB - ACM CY - New York ER - TY - CHAP A1 - Frison, Anna-Katharina A1 - Riener, Andreas A1 - Jeon, Myounghoon A1 - Pfleging, Bastian A1 - Alvarez, Ignacio T1 - Workshop on Designing Highly Automated Driving Systems as Radical Innovation T2 - Adjunct Proceedings: 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/3239092.3239097 KW - automated driving systems KW - SAE J3016 KW - Innovation KW - Design Thinking KW - User-Centered Design Y1 - 2018 UR - https://doi.org/10.1145/3239092.3239097 SN - 978-1-4503-5947-4 SP - 37 EP - 43 PB - ACM CY - New York ER - TY - CHAP A1 - Frison, Anna-Katharina A1 - Pfleging, Bastian A1 - Riener, Andreas A1 - Jeon, Myounghoon A1 - Alvarez, Ignacio A1 - Ju, Wendy T1 - Workshop on User-Centered Design for Automated Driving Systems T2 - Adjunct Proceedings: The 9th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/3131726.3131734 KW - Automotive user interfaces KW - Automated Driving systems KW - User-centered design Y1 - 2017 UR - https://doi.org/10.1145/3131726.3131734 SN - 978-1-4503-5151-5 SP - 22 EP - 27 PB - ACM CY - New York 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 - CHAP A1 - Ehsan, Upol A1 - Wintersberger, Philipp A1 - Liao, Q. Vera A1 - Mara, Martina A1 - Streit, Marc A1 - Wachter, Sandra A1 - Riener, Andreas A1 - Riedl, Mark O. T1 - Operationalizing Human-Centered Perspectives in Explainable AI T2 - CHI’21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems UR - https://doi.org/10.1145/3411763.3441342 KW - Artificial Intelligence KW - Explainable AI KW - human-centered Y1 - 2021 UR - https://doi.org/10.1145/3411763.3441342 SN - 978-1-4503-8095-9 PB - ACM CY - New York 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 - 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 - JOUR A1 - Janssen, Christian P. A1 - Boyle, Linda Ng A1 - Ju, Wendy A1 - Riener, Andreas A1 - Alvarez, Ignacio T1 - Agents, environments, scenarios: A framework for examining models and simulations of human-vehicle interaction JF - Transportation Research Interdisciplinary Perspectives N2 - This paper provides a framework for examining human-vehicle interactions with respect to three dimensions that can involve models or simulations: the agents, the environments, and the scenarios. Agents are considered on a spectrum from human to artificial actors. Environments are considered on a spectrum from simulated to real. Scenarios are considered on a spectrum from constrained to unconstrained. It is argued that these three dimensions capture key differences in research approaches within the field of human-vehicle interaction, and that explicitly situating research and discussions within this framework will allow researchers to better compare and contrast research outcomes and contributions. The framework is used to locate different disciplines in the community with respect to one another, and to identify areas which are as-yet unexplored. UR - https://doi.org/10.1016/j.trip.2020.100214 KW - theory KW - models KW - simulation KW - human-vehicle interaction KW - environment KW - scenario KW - agent KW - fidelity KW - control Y1 - 2020 UR - https://doi.org/10.1016/j.trip.2020.100214 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-9259 SN - 2590-1982 VL - 2020 IS - 8 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Kundinger, Thomas A1 - Sofra, Nikoletta A1 - Riener, Andreas T1 - Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection JF - Sensors N2 - Drowsy driving imposes a high safety risk. Current systems often use driving behavior parameters for driver drowsiness detection. The continuous driving automation reduces the availability of these parameters, therefore reducing the scope of such methods. Especially, techniques that include physiological measurements seem to be a promising alternative. However, in a dynamic environment such as driving, only non- or minimal intrusive methods are accepted, and vibrations from the roadbed could lead to degraded sensor technology. This work contributes to driver drowsiness detection with a machine learning approach applied solely to physiological data collected from a non-intrusive retrofittable system in the form of a wrist-worn wearable sensor. To check accuracy and feasibility, results are compared with reference data from a medical-grade ECG device. A user study with 30 participants in a high-fidelity driving simulator was conducted. Several machine learning algorithms for binary classification were applied in user-dependent and independent tests. Results provide evidence that the non-intrusive setting achieves a similar accuracy as compared to the medical-grade device, and high accuracies (>92%) could be achieved, especially in a user-dependent scenario. The proposed approach offers new possibilities for human–machine interaction in a car and especially for driver state monitoring in the field of automated driving. UR - https://doi.org/10.3390/s20041029 KW - drowsiness detection KW - driver state KW - simulator study KW - physiological measures KW - machine learning KW - wearable sensors KW - automated driving Y1 - 2020 UR - https://doi.org/10.3390/s20041029 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-9506 SN - 1424-8220 VL - 20 IS - 4 PB - MDPI CY - Basel ER - TY - CHAP A1 - Kundinger, Thomas A1 - Riener, Andreas A1 - Sofra, Nikoletta A1 - Weigl, Klemens T1 - Drowsiness Detection and Warning in Manual and Automated Driving: Results from Subjective Evaluation T2 - Proceedings: 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/3239060.3239073 KW - Automated Driving KW - driver drowsiness detection KW - driver state KW - simulator study KW - Subjective methods Y1 - 2018 UR - https://doi.org/10.1145/3239060.3239073 SN - 978-1-4503-5946-7 SP - 229 EP - 236 PB - ACM CY - New York ER - TY - CHAP A1 - Kundinger, Thomas A1 - Riener, Andreas A1 - Sofra, Nikoletta A1 - Weigl, Klemens T1 - Driver drowsiness in automated and manual driving: insights from a test track study T2 - IUI 2020: Proceedings of the 25th International Conference on Intelligent User Interfaces UR - https://doi.org/10.1145/3377325.3377506 KW - automated driving KW - driver drowsiness detection KW - driver state KW - field study KW - subjective methods KW - wearables Y1 - 2020 UR - https://doi.org/10.1145/3377325.3377506 SN - 978-1-4503-7118-6 SP - 369 EP - 379 PB - ACM CY - New York ER - TY - CHAP A1 - Riener, Andreas A1 - Geisler, Stefan A1 - Pfleging, Bastian A1 - von Sawitzky, Tamara A1 - Detjen, Henrik T1 - 8th Workshop Automotive HMIs: UI Research in the Age of New Digital Realities T2 - Mensch und Computer 2019 - Workshopband UR - https://doi.org/10.18420/muc2019-ws-282 KW - user interfaces KW - automotive HMIs KW - automated driving KW - interaction concepts Y1 - 2019 UR - https://doi.org/10.18420/muc2019-ws-282 SP - 397 EP - 399 PB - Gesellschaft für Informatik CY - Bonn 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - JOUR A1 - Riener, Andreas A1 - Jeon, Myounghoon T1 - Guest editors’ introduction: multimodal technologies and interaction in the era of automated driving JF - Multimodal Technologies and Interaction UR - https://doi.org/10.3390/mti3020041 Y1 - 2019 UR - https://doi.org/10.3390/mti3020041 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13339 SN - 2414-4088 VL - 3 IS - 2 PB - MDPI CY - Basel ER - TY - CHAP A1 - Hasirlioglu, Sinan A1 - Reway, Fabio A1 - Klingenberg, Tim A1 - Riener, Andreas A1 - Huber, Werner T1 - Raindrops on the Windshield: Performance Assessment of Camera-based Object Detection T2 - 2019 IEEE International Conference on Vehicular Electronics and Safety (ICVES) UR - https://doi.org/10.1109/ICVES.2019.8906344 Y1 - 2019 UR - https://doi.org/10.1109/ICVES.2019.8906344 SN - 978-1-7281-3473-4 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Boffi, Laura A1 - Wintersberger, Philipp A1 - Cesaretti, Paola A1 - Mincolelli, Guiseppe A1 - Riener, Andreas T1 - The first co-drive experience prototype T2 - Adjunct Proceedings: 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/3349263.3351318 KW - automated driving KW - interaction design KW - experience prototyping KW - remote travel Y1 - 2019 UR - https://doi.org/10.1145/3349263.3351318 SN - 978-1-4503-6920-6 SP - 254 EP - 259 PB - ACM CY - New York ER - TY - JOUR A1 - Riener, Andreas A1 - Mirnig, Alexander G. T1 - Guest Editors Introduction to the Special Issue “User-Centered Design for Automated Vehicles: HMIs, User Needs, and Preferences” JF - i-com: Journal of Interactive Media UR - https://doi.org/10.1515/icom-2019-0014 Y1 - 2019 UR - https://doi.org/10.1515/icom-2019-0014 SN - 2196-6826 VL - 18 IS - 2 SP - 101 EP - 103 PB - De Gruyter CY - Berlin ER - TY - CHAP A1 - Epple, Nico A1 - Hankofer, T. A1 - Riener, Andreas T1 - Scenario Classes in Naturalistic Driving: Autoencoder-based Spatial and Time-Sequential Clustering of Surrounding Object Trajectories T2 - 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) UR - https://doi.org/10.1109/ITSC45102.2020.9294359 KW - Clustering algorithms KW - Electron tubes KW - Classification algorithms KW - Trajectory KW - Shape KW - Convolutional codes KW - Unsupervised learning Y1 - 2020 UR - https://doi.org/10.1109/ITSC45102.2020.9294359 SN - 978-1-7281-4149-7 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Schlackl, Dominik A1 - Weigl, Klemens A1 - Riener, Andreas ED - Alt, Florian ED - Schneegass, Stefan ED - Hornecker, Eva T1 - eHMI visualization on the entire car body: results of a comparative evaluation of concepts for the communication between AVs and manual drivers T2 - Tagungsband: Mensch & Computer 2020 UR - https://doi.org/10.1145/3404983.3410011 KW - Automotive user interfaces KW - Visual eHMIs KW - AV-driver communication KW - User experience (UX) Y1 - 2020 UR - https://doi.org/10.1145/3404983.3410011 SN - 978-1-4503-7540-5 SP - 79 EP - 83 PB - ACM CY - New York ER - TY - CHAP A1 - Wischert-Zielke, Moritz A1 - Weigl, Klemens A1 - Steinhauser, Marco A1 - Riener, Andreas ED - Alt, Florian ED - Schneegass, Stefan ED - Hornecker, Eva T1 - Age differences in the anticipated acceptance of egoistic versus altruistic crash-control-algorithms in automated vehicles T2 - Tagungsband: Mensch & Computer 2020 UR - https://doi.org/10.1145/3404983.3409992 KW - automated driving KW - crash-control-algorithms KW - trolley dilemma KW - selfsacrifice KW - altruism Y1 - 2020 UR - https://doi.org/10.1145/3404983.3409992 SN - 978-1-4503-7540-5 SP - 467 EP - 471 PB - ACM CY - New York ER - TY - CHAP A1 - Sadeghian, Shadan A1 - Schrapel, Maximilian A1 - Wintersberger, Philipp A1 - Koetsierr, Christian A1 - Laschke, Matthias A1 - Rohs, Michael A1 - Schering, Johannes A1 - Kun, Andrew A1 - Riener, Andreas T1 - Workshop on Designing Technologies for Future Forms of Sustainable Mobility T2 - Extended Abstracts: Expanding the Horizon of Mobile Interaction: The 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services UR - https://doi.org/10.1145/3406324.3424586 KW - Mobility KW - persuasive technology KW - sustainable HCI KW - automotive UI KW - climate change KW - behavior change KW - sustainable transportation KW - micromobility KW - bicycles Y1 - 2020 UR - https://doi.org/10.1145/3406324.3424586 SN - 978-1-4503-8052-2 PB - ACM CY - New York ER - TY - CHAP A1 - Wintersberger, Philipp A1 - Klotz, Tobias A1 - Riener, Andreas T1 - Tell me more: transparency and time-fillers to optimize chatbots’ waiting time experience T2 - NordiCHI'20: Shaping Experiences, Shaping Society: Proceedings of the 11th Nordic Conference on Human-Computer Interaction UR - https://doi.org/10.1145/3419249.3420170 KW - chatbots KW - conversational agents KW - conversational breakdown KW - handover KW - customer service KW - service design Y1 - 2020 UR - https://doi.org/10.1145/3419249.3420170 SN - 978-1-4503-7579-5 PB - ACM CY - New York ER - TY - CHAP A1 - Kundinger, Thomas A1 - Riener, Andreas T1 - The Potential of Wrist-Worn Wearables for Driver Drowsiness Detection: a Feasibility Analysis T2 - UMAP '20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization UR - https://doi.org/10.1145/3340631.3394852 KW - drowsiness detection KW - driver state KW - test track study KW - physiological measures KW - machine learning KW - wearable devices KW - automated driving Y1 - 2020 UR - https://doi.org/10.1145/3340631.3394852 SN - 978-1-4503-6861-2 SP - 117 EP - 125 PB - ACM CY - New York ER - TY - CHAP A1 - Epple, Nico A1 - Dari, Simone A1 - Riener, Andreas T1 - Probabilistic Time-To-Collision: Correlation of Driver Gaze and Surrounding Objects T2 - 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall): Proceedings UR - https://doi.org/10.1109/VTC2020-Fall49728.2020.9348757 KW - visualization KW - probabilistic logic KW - controllability KW - sensor systems KW - road safety KW - task analysis KW - vehicles Y1 - 2020 UR - https://doi.org/10.1109/VTC2020-Fall49728.2020.9348757 SN - 978-1-7281-9484-4 SN - 2577-2465 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Frison, Anna-Katharina A1 - Wintersberger, Philipp A1 - Liu, Tianjia A1 - Riener, Andreas T1 - Why do you like to drive automated?: a context-dependent analysis of highly automated driving to elaborate requirements for intelligent user interfaces T2 - Proceedings of IUI 2019 UR - https://doi.org/10.1145/3301275.3302331 KW - automated driving KW - automated vehicles KW - user experience KW - user acceptance KW - SAE J3016 KW - ISO 9241-11 Y1 - 2019 UR - https://doi.org/10.1145/3301275.3302331 SN - 978-1-4503-6272-6 SP - 528 EP - 537 PB - ACM CY - New York ER - TY - CHAP A1 - Wintersberger, Philipp A1 - Dmitrenko, Dmitrijs A1 - Schartmüller, Clemens A1 - Frison, Anna-Katharina A1 - Maggioni, Emanuela A1 - Obrist, Marianna A1 - Riener, Andreas T1 - S(C)ENTINEL: monitoring automated vehicles with olfactory reliability displays T2 - Proceedings of IUI 2019 UR - https://doi.org/10.1145/3301275.3302332 KW - automated driving KW - olfactory KW - reliability KW - SAE J3016 KW - human factors KW - trust Y1 - 2019 UR - https://doi.org/10.1145/3301275.3302332 SN - 978-1-4503-6272-6 SP - 538 EP - 546 PB - ACM CY - New York ER - TY - CHAP A1 - Kundinger, Thomas A1 - Wintersberger, Philipp A1 - Riener, Andreas T1 - (Over)Trust in Automated Driving: The Sleeping Pill of Tomorrow? T2 - CHI'19 Extended Abstracts: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems UR - https://doi.org/10.1145/3290607.3312869 KW - automated driving KW - driver drowsiness KW - trust KW - driver state KW - user study KW - subjective measures Y1 - 2019 UR - https://doi.org/10.1145/3290607.3312869 SN - 978-1-4503-5971-9 PB - ACM CY - New York ER - TY - CHAP A1 - von Sawitzky, Tamara A1 - Wintersberger, Philipp A1 - Riener, Andreas A1 - Gabbard, Joseph ED - Cauchard, Jessica ED - Gentile, Vito ED - Khamis, Mohamed ED - Sorce, Salvatore T1 - Increasing trust in fully automated driving: route indication on an augmented reality head-up display T2 - PerDis '19: Proceedings of the 8th ACM International Symposium on Pervasive Displays UR - https://doi.org/10.1145/3321335.3324947 KW - fully automated driving KW - augmented reality KW - head-up displays KW - route indication KW - trust KW - human factors Y1 - 2019 UR - https://doi.org/10.1145/3321335.3324947 SN - 978-1-4503-6751-6 PB - ACM CY - New York ER -