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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - JOUR A1 - Weigl, Klemens A1 - Eisele, Daniel A1 - Riener, Andreas T1 - Estimated years until the acceptance and adoption of automated vehicles and the willingness to pay for them in Germany: Focus on age and gender JF - International Journal of Transportation Science and Technology N2 - Automated vehicles (AVs) are expected to enter the market within the next few years. However, their introduction would not only be a technological, but also a societal one – and it is therefore crucial to examine the public’s attitudes, opinions, and beliefs about AVs. It is particularly interesting to study when AVs are estimated to be accepted and adopted, and to query the willingness to pay for them. Hence, we applied a mixed-methods approach to collect quantitative and qualitative data and carried out a cross-sectional survey study. We focused on collecting an almost balanced sample across age and gender from 725 respondents (351 female, 374 male) with an age range from 18 to 96 years. Our results revealed that AVs are estimated to be accepted and adopted in about 10 years at SAE level L3 and in about 20 years at L5. Moreover, on average we found that the participants would be willing to pay 10.6 % more for an AV at L3 and 14.5 % at L5, but those estimates are affected by large outlier values. Nevertheless, we also observed that between 40 and 33 % of women and 41 and 33 % of men would not be willing to pay any more for an AV neither at L3 nor at L5, respectively. Ultimately, manufacturers and policymakers will have to take these findings into account if they really want to establish AVs as a widespread technological and societal revolution. UR - https://doi.org/10.1016/j.ijtst.2022.03.006 KW - Automated vehicles KW - Survey study KW - Mixed-methods approach KW - Estimated acceptance KW - Willingness to pay KW - Internal design Y1 - 2022 UR - https://doi.org/10.1016/j.ijtst.2022.03.006 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-29023 SN - 2046-0430 VL - 11 IS - 2 SP - 216 EP - 228 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Weigl, Klemens A1 - Nees, Michael A. A1 - Eisele, Daniel A1 - Riener, Andreas T1 - Acceptance of automated vehicles: Gender effects, but lack of meaningful association with desire for control in Germany and in the U.S. JF - Transportation Research Interdisciplinary Perspectives N2 - Although automated vehicles (AVs) come with many promises such as enabling the driver-passenger to perform non-driving-related-tasks or increased safety, the public’s acceptance of AVs will have a crucial impact on whether or not AVs will be ultimately adopted. In particular, the personality trait desire for control may influence the acceptance of AVs, which has received scant research attention to date. Therefore, we independently carried out two questionnaire studies: Study 1 in Germany and Study 2 in the U.S. In both studies, we applied the self-driving car acceptance scale (SCAS) and the desirability of control scale (DoCS). In Study 1, we queried 114 participants (60 female) and in Study 2 we sampled data from 601 participants (322 female). In both studies, our findings consistently indicate that the overall DoCS factor was not associated with the overall SCAS factor. We only uncovered a weak positive correlation in Study 1, but only for a reduced overall acceptance factor with 10 items obtained by factor analyses instead of the 24 items of the SCAS. Furthermore, our results revealed that women assign significantly lower ratings to the overall acceptance factor of AVs as well as to the desirability for control factor than men, both in Germany and in the U.S., respectively. Despite the influence of gender on acceptance of AVs and DoCS, we conclude that there might be either no or only a weak association between desire for control and acceptance of AVs, which needs to be further investigated in future studies. UR - https://doi.org/10.1016/j.trip.2022.100563 KW - Automated vehicles KW - Technology acceptance KW - Desire for control KW - Gender KW - Cross-cultural study Y1 - 2022 UR - https://doi.org/10.1016/j.trip.2022.100563 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-29092 SN - 2590-1982 VL - 2022 IS - 13 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Wintersberger, Philipp A1 - Frison, Anna-Katharina A1 - Thang, Isabella A1 - Riener, Andreas ED - Riener, Andreas ED - Appel, Alexandra ED - Dorner, Wolfgang ED - Huber, Thomas ED - Kolb, Jan Christopher ED - Wagner, Harry T1 - Mensch oder Maschine? Direktvergleich von automatisiert und manuell gesteuertem Nahverkehr T2 - Autonome Shuttlebusse im ÖPNV N2 - Da erst wenige automatisierte Fahrzeuge auf öffentlichen Straßen in Betrieb sind, ist aktuell noch unklar, ob potenzielle Nutzer diese akzeptieren und ihnen vertrauen. Um diesen Fragen nachzugehen, wurde eine Feldstudie mit 24 (jeweils zwölf älteren und jüngeren) Teilnehmern durchgeführt, wobei ein automatisiertes Fahrzeug direkt mit einem von menschlicher Hand gesteuerten Gruppentaxi verglichen wurde. Benutzerakzeptanz und -erlebnis, Vertrauen sowie subjektives Zeitempfinden wurden sowohl vor als auch nach der Fahrt mit dem jeweiligen Transportmittel mit standardisierten Messverfahren und Interviews erfasst. Die Resultate zeigen, dass automatisierte Fahrzeuge in ähnlichem Ausmaß akzeptiert werden wie auch menschliche Fahrer, jedoch gerade jüngere Probanden aufgrund der geringeren Geschwindigkeit der neuen Technologie gegenüber noch skeptisch eingestellt sind. Für diese Zielgruppe wirkte sich jedoch eine Fahrt mit dem automatisierten Fahrzeug positiv auf das Vertrauen aus. Eine Berücksichtigung der gewonnenen Erkenntnisse ist für eine weitere Implementierung der Technologie zu empfehlen. UR - https://doi.org/10.1007/978-3-662-59406-3_6 Y1 - 2020 UR - https://doi.org/10.1007/978-3-662-59406-3_6 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-17541 SN - 978-3-662-59405-6 SN - 978-3-662-59406-3 SP - 95 EP - 113 PB - Springer Vieweg CY - Berlin ER - TY - CHAP A1 - Wintersberger, Philipp A1 - Löcken, Andreas A1 - Frison, Anna-Katharina A1 - Riener, Andreas ED - Riener, Andreas ED - Appel, Alexandra ED - Dorner, Wolfgang ED - Huber, Thomas ED - Kolb, Jan Christopher ED - Wagner, Harry T1 - Evaluierung von Benutzeranforderungen für die Kommunikation zwischen automatisierten Fahrzeugen und ungeschützten Verkehrsteilnehmern T2 - Autonome Shuttlebusse im ÖPNV: Analysen und Bewertungen zum Fallbeispiel Bad Birnbach aus technischer, gesellschaftlicher und planerischer Sicht N2 - Es wurden bereits einige Lösungen vorgestellt, um die Kommunikation zwischen automatisierten Fahrzeugen und ungeschützten Verkehrsteilnehmern (sog. „Vulnerable Road Users“, VRUs) zu unterstützen. Noch ist jedoch unklar, ob diese Systeme den Anforderungen zukünftiger Benutzer auch gerecht werden. Ziel dieser Arbeit war es, Benutzeranforderungen von VRUs nach direktem Kontakt mit einem automatisierten Fahrzeug zu erfassen. Hierfür wurde eine Feldstudie mit 32 Teilnehmern durchgeführt. Die Resultate, welche sowohl auf subjektiven (Fragebögen, Interviews) als auch objektiven (Videoanalyse) Daten basieren, legen nahe, dass ungeschützte Verkehrsteilnehmer einfache und bekannte Konzepte (beispielsweise Ampelsysteme oder Hupen) zur Kommunikation bevorzugen. Des Weiteren wurden diverse Problemszenarien identifiziert, welche für eine Bereitstellung von automatisierten Fahrzeugen in „Shared Spaces“ von besonderer Bedeutung sind. UR - https://doi.org/10.1007/978-3-662-59406-3_7 Y1 - 2020 UR - https://doi.org/10.1007/978-3-662-59406-3_7 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-17601 SN - 978-3-662-59405-6 SN - 978-3-662-59406-3 SP - 115 EP - 132 PB - Springer Vieweg CY - Berlin ER - TY - JOUR A1 - Riegler, Andreas A1 - Riener, Andreas A1 - Holzmann, Clemens T1 - Towards Personalized 3D Augmented Reality Windshield Displays in the Context of Automated Driving JF - Frontiers in Future Transportation N2 - As vehicle automation advances, drivers of automated vehicles become more disengaged from the primary driving task. Windshield displays provide a large screen space supporting drivers in non-driving related activities. This article presents user preferences as well as task and safety issues for 3D augmented reality windshield displays in automated driving. Participants of a user study (n = 24) customized two modes of content presentation (multiple content-specific windows vs. one main window), and could freely adjust visual parameters for these content windows using a simulated “ideal” windshield display in a virtual reality driving simulator. We found that user preferences differ with respect to contextual aspects. Additionally, using one main content window resulted in better task performance and lower take-over times, but the subjective user experience was higher for the multi-window user interface. These findings help automotive interface designers to improve experiences in automated vehicles. UR - https://doi.org/10.3389/ffutr.2022.810698 KW - augmented reality KW - windshield display KW - automated driving KW - user study KW - user preferences Y1 - 2022 UR - https://doi.org/10.3389/ffutr.2022.810698 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-28093 SN - 2673-5210 VL - 3 PB - Frontiers Media CY - Lausanne ER - TY - JOUR A1 - Schuß, Martina A1 - Rollwagen, Alice A1 - Riener, Andreas T1 - Understanding Operator Influence in Automated Urban Shuttle Buses and Recommendations for Future Development JF - Multimodal Technologies and Interaction N2 - The automation of our vehicles is an all-present topic with great benefits for society, particularly in the area of public transport and pilot projects of automated shuttle buses are already underway. However, they do not show the full potential of using them as a supplement to public transport, since single-occupancy registration of the vehicles usually allows only slow speeds and also requires a substitute driver on board. In our study, we aim to (1) examine the status quo of its user acceptance and (2) identify the roles of the operators and their tasks in automated urban shuttle buses. We conducted a mixed-method study including in-depth interviews, questionnaires, and in-the-field observations visiting pilot projects of the two most widespread pilot projects on German streets. Our results uncover the multiple roles and tasks the human operators currently assume. Furthermore, we developed design approaches for a digital companion substituting the operator in a long run and evaluated these concepts. A remote operator or a hologram were preferred solutions and we propose further design requirements for such companions. This work helps to understand the individual roles that operators currently occupy and provides a good basis for concepts of technologies that will perform these tasks in the future. UR - https://doi.org/10.3390/mti6120109 KW - automated shuttles buses KW - operators KW - user acceptance KW - automated vehicles KW - pilot projects KW - on-site study Y1 - 2022 UR - https://doi.org/10.3390/mti6120109 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-29942 SN - 2414-4088 VL - 6 IS - 12 PB - MDPI CY - Basel ER - TY - JOUR A1 - Kefalidou, Genovefa A1 - Tasoudis, Stavros T1 - Editorial: Trust, safety and passenger experience in Intelligent Mobility JF - Frontiers in Human Dynamics UR - https://doi.org/10.3389/fhumd.2022.1102447 KW - Intelligent Mobility (IM) KW - passenger experience (PAX) KW - trustworthy AI KW - Automated Vehicles (AVs) KW - safety KW - People With Disabilities (PWD) KW - Virtual Reality (VR) Y1 - 2023 UR - https://doi.org/10.3389/fhumd.2022.1102447 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-30749 SN - 2673-2726 VL - 4 PB - Frontiers Media S.A. CY - Lausanne ER - TY - JOUR A1 - Jeon, Myounghoon A1 - Park, Chung Hyuk A1 - Kim, Yunkyung A1 - Riener, Andreas A1 - Mara, Martina T1 - Editorial: Contextualized Affective Interactions With Robots JF - Frontiers in Psychology UR - https://doi.org/10.3389/fpsyg.2021.780685 KW - affect KW - human-robot interaction (HRI) KW - affective robots KW - affective interaction KW - emotions Y1 - 2021 UR - https://doi.org/10.3389/fpsyg.2021.780685 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-34797 SN - 1664-1078 VL - 12 PB - Frontiers CY - Lausanne ER - TY - JOUR A1 - Ludwig, Thomas A1 - Weber, Philip A1 - Maedche, Alexander A1 - Riener, Andreas T1 - Special issue on “conversational agents” – Editorial JF - i-com: Journal of Interactive Media UR - https://doi.org/10.1515/icom-2023-0010 Y1 - 2023 UR - https://doi.org/10.1515/icom-2023-0010 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-38416 SN - 2196-6826 VL - 22 IS - 1 SP - 1 EP - 2 PB - De Gruyter CY - Berlin ER - TY - JOUR A1 - Wintersberger, Philipp A1 - Dey, Debargha A1 - Löcken, Andreas T1 - Editorial: Interaction between automated vehicles and other road users JF - Frontiers in Robotics and AI UR - https://doi.org/10.3389/frobt.2023.1228093 KW - automated driving KW - vulnerable road user (VRU) KW - traffic safety KW - external human-machine interface (eHMI) KW - human-computer interaction Y1 - 2023 UR - https://doi.org/10.3389/frobt.2023.1228093 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-37603 SN - 2296-9144 VL - 10 PB - Frontiers Media CY - Lausanne ER - TY - BOOK ED - Riener, Andreas ED - Appel, Alexandra ED - Dorner, Wolfgang ED - Huber, Thomas ED - Kolb, Jan Christopher ED - Wagner, Harry T1 - Autonome Shuttlebusse im ÖPNV BT - Analysen und Bewertungen zum Fallbeispiel Bad Birnbach aus technischer, gesellschaftlicher und planerischer Sicht N2 - Automatisiertes Fahren wird aktuell auf allen Ebenen diskutiert. Dieses Open Access Buch greift das Thema aus Sicht des ÖPNV auf und stellt Chancen und Risiken des Einsatzes automatisierter Shuttlebusse im Nahverkehr dar. Am Beispiel Bad Birnbach/Niederbayern wird gezeigt, welche Herausforderungen bei der Einführung eines solchen Services zu erwarten sind und wie diese gelöst werden können. Dabei fokussiert sich das Buch auf die Vermittlung von im Feld erhobenen Daten, z.B. zu technischen Schwierigkeiten, Erfahrungsberichten von Anwohnern und Gästen, Akzeptanz in der Bevölkerung, infrastrukturellen Anforderungen, etc. Konkrete Handlungsempfehlungen für Städteplaner, ÖPNV-Betreiber/-Strategen oder Kommunen, die eine Einführung automatisierter Busse in Erwägung ziehen, runden das Werk ab. UR - https://doi.org/10.1007/978-3-662-59406-3 KW - Autonomes Fahren KW - Multimodaler Verkehr KW - Verkehrsplanung für automatisierte Shuttlebusse KW - Gesellschaftliche Akzeptanz KW - Einsatzpotentiale von automatisierten Shuttlebussen KW - Open Access Y1 - 2020 UR - https://doi.org/10.1007/978-3-662-59406-3 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-14179 SN - 978-3-662-59406-3 SN - 978-3-662-59405-6 PB - Springer Vieweg CY - Berlin ER - TY - JOUR A1 - Brewster, Stephen A1 - Kun, Andrew A1 - Riener, Andreas A1 - Shaer, Orit ED - Brewster, Stephen ED - Kun, Andrew ED - Riener, Andreas ED - Shaer, Orit T1 - Human-Computer Interaction to Support Work and Wellbeing in Mobile Environments JF - Dagstuhl Reports N2 - We are living in a world where ubiquitous computing devices are becoming parts of the fabric of our lives. At work and at school, devices such as calculators, tablet computers, mobile phones, and different electronic measurement devices, support our work and learning. Building on all of these technological advancements will be novel human-computer interaction techniques that will allow us to use the devices for work and play in a broad set of circumstances, from riding in automated vehicles, to exploring museums, to walking on the street, to playing with our kids on the beach. The central underlying question Dagstuhl seminar 21232 wanted to address is, "how will we interact with the ubiquitous devices of our near (and not-so-near) future?" To date, there are a number of interaction techniques that show significant promise, including speech, augmented reality, tangible objects, gesture, multitouch screens, as well as simple keyboards and non-touch displays. But, before we address technologies to use, we must first identify the economic and broad societal driving forces that will create the need for interaction with our ubiquitous computing devices. From the economic point of view worker well-being is one such driving force; another one is the need to improve the productivity of workers and firms; yet another is the need to provide access to continuous education to a changing workforce. From the broad perspective of our society, it is important for us to understand how ubiquitous technologies can support living a meaningful and fulfilling life, from childhood to adulthood. In the following, we report the program, activities, and the outcomes of Dagstuhl Seminar 21232 "Human-Computer Interaction to Support Work and Wellbeing in Mobile Environments". UR - https://doi.org/10.4230/DagRep.11.5.23 KW - (Productive) Work KW - Ergonomics KW - Human-computer interaction KW - Wellbeing Y1 - 2021 UR - https://doi.org/10.4230/DagRep.11.5.23 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-31736 SN - 2192-5283 VL - 11 IS - 5 SP - 23 EP - 53 PB - Schloss Dagstuhl CY - Dagstuhl 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 - 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 - 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 - 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 - CHAP A1 - Weigl, Klemens A1 - Becker, Sinja A1 - Bosch, Karolin A1 - Thai, Nhien A1 - Riener, Andreas T1 - Impact of Auditory Listening on Emotional States in Self-paced Outdoor Running T2 - Proceedings of the 8th International Conference on Sport Sciences Research and Technology Support UR - https://doi.org/10.5220/0009980201890196 KW - Music KW - Audiobook KW - Emotional States KW - Portable Technologies KW - Self-paced Running KW - Outdoor Y1 - 2020 UR - https://doi.org/10.5220/0009980201890196 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-20539 SN - 978-989-758-481-7 SN - 2184-2825 SP - 189 EP - 196 PB - SciTePress CY - Setúbal 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 -