TY - CHAP A1 - Peintner, Jakob A1 - Malve, Bhavana A1 - Sadeghian, Shadan A1 - Riener, Andreas T1 - Driving Together: An Analysis of Passengers' Needs and Desire for Cooperative Control in Automated Vehicles T2 - MuC´25: Proceedings of the 2025 Conference on Mensch und Computer N2 - Driving automation aims to enhance comfort, safety, and traffic flow by removing the human driver from the control loop. However, the human experience of commuting involves more than just reaching a destination or assuming the role of a driver. Factors like personal driving style and courtesy towards fellow road users are integral to the driving experience but often overlooked in the development of driving algorithms for automated vehicles. In this study, we explored the needs of passengers in highly automated vehicles. A qualitative use case analysis was conducted (N=16). In a second study, N=15 participants experienced the resulting use cases in an automated vehicle. In these scenarios, they were able to interact with the automation through a cooperation HMI. Results indicate that most participants expressed a desire for cooperative driving, albeit varying with the driving situation. Moreover, allowing cooperation improves passengers’ overall experience by satisfying psychological needs for autonomy, security, competence, and relatedness. UR - https://doi.org/10.1145/3743049.3743061 Y1 - 2025 UR - https://doi.org/10.1145/3743049.3743061 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-62112 SN - 979-8-4007-1582-2 SP - 333 EP - 344 PB - ACM CY - New York ER - TY - CHAP A1 - Malve, Bhavana A1 - Peintner, Jakob A1 - Sadeghian, Shadan A1 - Riener, Andreas T1 - “Do You Want to Drive Together?” - A Use Case Analysis on Cooperative, Automated Driving T2 - 15th International ACM Conference on Automotive User Interfaces: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3581961.3609871 KW - Automated Driving KW - Cooperative Driving KW - Use Case Analysis KW - User Experience KW - User Needs Y1 - 2023 UR - https://doi.org/10.1145/3581961.3609871 SN - 979-8-4007-0112-2 SP - 209 EP - 214 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 - Ehsan, Upol A1 - Wintersberger, Philipp A1 - Liao, Q. Vera A1 - Watkins, Elizabeth Anne A1 - Manger, Carina A1 - Daumé III, Hal A1 - Riener, Andreas A1 - Riedl, Mark O. ED - Diniz Junqueira Barbosa, Simone ED - Lampe, Cliff ED - Appert, Caroline ED - Shamma, David T1 - Human-Centered Explainable AI (HCXAI): Beyond opening the black-box of AI T2 - CHI’22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems UR - https://doi.org/10.1145/3491101.3503727 KW - explainable artifcial intelligence KW - interpretable machine learning KW - interpretability KW - artifcial intelligence KW - responsible AI KW - trust in automation KW - algorithmic fairness Y1 - 2022 UR - https://doi.org/10.1145/3491101.3503727 SN - 978-1-4503-9156-6 PB - ACM CY - New York ER - TY - CHAP A1 - Ehsan, Upol A1 - Wintersberger, Philipp A1 - Watkins, Elizabeth Anne A1 - Manger, Carina A1 - Ramos, Gonzalo A. A1 - Weisz, Justin A1 - Daumé III, Hal A1 - Riener, Andreas A1 - Riedl, Mark O. T1 - Human-Centered Explainable AI (HCXAI): Coming of age T2 - CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems UR - https://doi.org/10.1145/3544549.3573832 Y1 - 2023 UR - https://doi.org/10.1145/3544549.3573832 SN - 978-1-4503-9422-2 PB - ACM CY - New York ER - TY - JOUR A1 - Himmels, Chantal A1 - Buchner, Claudia A1 - Schmitz, Jan A1 - Parduzi, Arben A1 - Riener, Andreas T1 - Validity of Driver Assistance Systems in Driving Simulators: A Comparative Study of Real-World Driving and Two Simulator Environments JF - International Journal of Human–Computer Interaction UR - https://doi.org/10.1080/10447318.2025.2495120 Y1 - 2025 UR - https://doi.org/10.1080/10447318.2025.2495120 SN - 1044-7318 VL - 41 IS - 23 SP - 15197 EP - 15214 PB - Taylor & Francis CY - London ER - TY - CHAP A1 - Oberhofer, Amelie A1 - Schmidt, Sabrina A1 - Wild, Clara A1 - Frison, Anna-Katharina A1 - Riener, Andreas ED - Alt, Florian ED - Bulling, Andreas ED - Döring, Tanja T1 - The influence of user openness on acceptance and UX of smart speakers T2 - Mensch und Computer 2019: Tagungsband UR - https://doi.org/10.1145/3340764.3344879 KW - smart speakers KW - OCEAN model KW - human personality KW - technology acceptance KW - AttrakDiff KW - natural user interfaces Y1 - 2019 UR - https://doi.org/10.1145/3340764.3344879 SN - 978-1-4503-7198-8 SP - 621 EP - 625 PB - ACM CY - New York ER - TY - JOUR A1 - Riegler, Andreas A1 - Riener, Andreas A1 - Holzmann, Clemens T1 - A Systematic Review of Augmented Reality Applications for Automated Driving: 2009–2020 JF - Presence: Teleoperators and Virtual Environments UR - https://doi.org/10.1162/pres_a_00343 Y1 - 2019 UR - https://doi.org/10.1162/pres_a_00343 SN - 1054-7460 SN - 1531-3263 VL - 28 SP - 87 EP - 126 PB - MIT Press CY - Cambridge ER - TY - JOUR A1 - Wintersberger, Philipp A1 - Frison, Anna-Katharina A1 - Riener, Andreas A1 - von Sawitzky, Tamara T1 - Fostering User Acceptance and Trust in Fully Automated Vehicles: Evaluating the Potential of Augmented Reality JF - Presence: Virtual and Augmented Reality UR - https://doi.org/10.1162/pres_a_00320 Y1 - 2018 UR - https://doi.org/10.1162/pres_a_00320 SN - 1531-3263 VL - 27 SP - 46 EP - 62 PB - MIT Press CY - Cambridge ER - TY - JOUR A1 - Riener, Andreas A1 - Gabbard, Joseph A1 - Trivedi, Mohan T1 - Special Issue of "Presence: Virtual and Augmented Reality" Virtual and Augmented Reality for Autonomous Driving and Intelligent Vehicles: Guest Editors' Introduction JF - Presence: Virtual and Augmented Reality UR - https://doi.org/10.1162/pres_e_00323 Y1 - 2018 UR - https://doi.org/10.1162/pres_e_00323 SN - 1531-3263 VL - 27 SP - i EP - iv PB - MIT Press CY - Cambridge ER -