Bhavana Malve
Andreas Riener
ABSTRACT
Cooperative driving has been established as a method to engage the human driver even in higher levels of automated driving, in which human intervention is not strictly necessary. However, a key question regarding a cooperative approach is whether users of automated vehicles even feel the need for cooperative guidance in the vehicles equipped with SAE level 4 and 5 automation, where the human driver is no longer required to intervene. In order to answer this question, we conducted a use case analysis, in which we interviewed (N=16) participants regarding their need for cooperation in different situations. Results show that nearly all participants still wanted to be able to intervene in the driving task, which, however, was dependent on the specific situation. User needs were similarly dependent on the specific situation, while “Autonomy”, “Security”, “Competence”, and “Relatedness” emerged as the most important psychological needs.
- Patricia Benner. 2004. Using the Dreyfus Model of Skill Acquisition to Describe and Interpret Skill Acquisition and Clinical Judgment in Nursing Practice and Education. Bulletin of Science, Technology & Society 24 (06 2004), 188–199. https://doi.org/10.1177/0270467604265061Google Scholar
Cross Ref
- On-Road Automated Driving (ORAD) Committee. 2021. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles. https://doi.org/10.4271/J3016_202104Google Scholar
- Paul H Fitts. 1951. Human engineering for an effective air-navigation and traffic-control system.Google Scholar
- Frank Ole Flemisch, Klaus Bengler, Heiner Bubb, Hermann Winner, and Ralph Bruder. 2014. Towards cooperative guidance and control of highly automated vehicles: H-Mode and Conduct-by-Wire. Ergonomics 57, 3 (March 2014), 343–360. https://doi.org/10.1080/00140139.2013.869355Google ScholarCross Ref
- Anna-Katharina Frison and Andreas Riener. 2022. The “DAUX Framework”: A Need-Centered Development Approach to Promote Positive User Experience in the Development of Driving Automation. Springer International Publishing, Cham, 237–271. https://doi.org/10.1007/978-3-030-77726-5_10Google Scholar
- Chunshi Guo, Chouki Sentouh, Jean-Baptiste Haué, and Jean-Christophe Popieul. 2019. Driver–vehicle cooperation: a hierarchical cooperative control architecture for automated driving systems. Cognition, Technology & Work 21, 4 (2019), 657–670.Google ScholarDigital Library
- Marc Hassenzahl. 2008. User Experience (UX): Towards an Experiential Perspective on Product Quality. In Proceedings of the 20th Conference on l’Interaction Homme-Machine (Metz, France) (IHM ’08). Association for Computing Machinery, New York, NY, USA, 11–15. https://doi.org/10.1145/1512714.1512717Google ScholarDigital Library
- Marc Hassenzahl and Virpi Roto. 2007. Being and doing: A perspective on user experience and its measurement. Interfaces 72, 1 (2007), 10–12.Google Scholar
- Marc Hassenzahl, Annika Wiklund-Engblom, Anette Bengs, Susanne Hägglund, and Sarah Diefenbach. 2015. Experience-Oriented and Product-Oriented Evaluation: Psychological Need Fulfillment, Positive Affect, and Product Perception. International Journal of Human-Computer Interaction 31 (08 2015), 530–544. https://doi.org/10.1080/10447318.2015.1064664Google Scholar
- Patrick Lin. 2015. Why Ethics Matters for Autonomous Cars. Springer Berlin Heidelberg, Berlin, Heidelberg, 69–85. https://doi.org/10.1007/978-3-662-45854-9_4Google Scholar
- Jakob Benedikt Peintner, Carina Manger, and Andreas Riener. 2022. “Can You Rely on Me?” Evaluating a Confidence HMI for Cooperative, Automated Driving. In Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Seoul, Republic of Korea) (AutomotiveUI ’22). Association for Computing Machinery, New York, NY, USA, 340–348. https://doi.org/10.1145/3543174.3546976Google ScholarDigital Library
- Jürgen Pichen, Tanja Stoll, and Martin Baumann. 2021. From SAE-Levels to Cooperative Task Distribution:An Efficient and Usable Way to Deal with System Limitations?. In 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM, Leeds United Kingdom, 109–115. https://doi.org/10.1145/3409118.3475127Google ScholarDigital Library
- Kennon Sheldon, Andrew Elliot, Youngmee Kim, and Tim Kasser. 2001. What Is Satisfying About Satisfying Events? Testing 10 Candidate Psychological Needs. Journal of personality and social psychology 80 (03 2001), 325–39. https://doi.org/10.1037/0022-3514.80.2.325Google Scholar
- Jacques Terken and Bastian Pfleging. 2020. Toward Shared Control Between Automated Vehicles and Users. Automotive Innovation 3 (02 2020). https://doi.org/10.1007/s42154-019-00087-9Google Scholar
- Marcel Walch, Mark Colley, and Michael Weber. 2019. CooperationCaptcha: On-The-Fly Object Labeling for Highly Automated Vehicles. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, Glasgow Scotland Uk, 1–6. https://doi.org/10.1145/3290607.3313022Google ScholarDigital Library
- Marcel Walch, Stacey Li, Ilan Mandel, David Goedicke, Natalie Friedman, and Wendy Ju. 2020. Crosswalk Cooperation: A Phone-Integrated Driver-Vehicle Cooperation Approach to Predict the Crossing Intentions of Pedestrians in Automated Driving. In 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM, Virtual Event DC USA, 74–77. https://doi.org/10.1145/3409251.3411727Google ScholarDigital Library
- Gesa Wiegand, Kai Holländer, Katharina Rupp, and Heinrich Hussmann. 09212020. The Joy of Collaborating with Highly Automated Vehicles. In 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM, New York, NY, USA, 223–232. https://doi.org/10.1145/3409120.3410643Google ScholarDigital Library
- Ingo Wolf. 2016. The Interaction Between Humans and Autonomous Agents. Springer Berlin Heidelberg, Berlin, Heidelberg, 103–124. https://doi.org/10.1007/978-3-662-48847-8_6Google Scholar
Index Terms
- “Do You Want to Drive Together?” - A Use Case Analysis on Cooperative, Automated Driving.
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