Abstract
Improving user experience of highly automated vehicles is crucial for increasing their acceptance. One possibility to realize this is the design of empathic vehicles that are capable of assessing the emotional state of vehicle occupants and react to it accordingly by providing tailored support. At the moment, the central challenge is to derive relevant use cases as basis for the design of future empathic vehicles. We report the results of a workshop that brought together researchers and practitioners interested in affective computing, affective interfaces and automated driving as forum for the development of a roadmap towards empathic vehicles using design thinking methods. During the workshop, experts from the field identified relevant affective use cases for three different scenarios in terms of use themes in fully automated vehicles (SAE level 5). These affective use cases are discussed for empathic automated vehicles thereby providing a roadmap of future research and applied issues of designing user-centered empathic vehicles for future mobility.
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References
Bosch, E., Ihme, K., Drewitz, U., Jipp, M.: The role of emotion recognition in future mobility visions. AAET Automatisiertes & Vernetztes Fahren [Automated and Connected Driving] 2019, Braunschweig, Deutschland (2019)
Stephanidis, C., et al.: Seven HCI grand challenges. Int. J. Hum. Comput. Interact. 35(14), 1229–1269 (2019)
Walter, H.: Social cognitive neuroscience of empathy: concepts, circuits, and genes. Emot. Rev. 4(1), 9–17 (2012)
Shamay-Tsoory, S., Aharon-Peretz, J., Perry, D.: Two systems for empathy: a double dissociation between emotional and cognitive empathy in inferior frontal gyrus versus ventromedial prefrontal lesions. Brain 132(3), 617–627 (2009)
Stephan, A.: Empathy for artificial agents. Int. J. Soc. Robot. 7, 111–116 (2015)
Braun, M., Schubert, J., Pfleging, B., Alt, F.: Improving driver emotions with affective strategies. Multimodal Technol. Interact. 3(1), 21 (2019)
Eyben, F., et al.: Emotion on the road - necessity, acceptance, and feasibility of affective computing in the car. In: Advances in Human-Computer Interaction (2010)
Löcken, A., Ihme, K., Unni, A.: Towards designing affect-aware systems for mitigating the effects of in-vehicle frustration. In: Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct (AutomotiveUI 2017). Association for Computing Machinery, New York, NY, USA, pp. 88–93 (2017)
Myounghoon, J.: Towards affect-integrated driving behaviour research. Theor. Issues Ergon. Sci. 16(6), 1–33 (2015)
SAE International: Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems J3016J3016. https://www.sae.org/standards/content/j3016_201401/
Drewitz, U, et al.: Automation ohne Unsicherheit: Vorstellung des Förderprojekts AutoAkzept zur Erhöhung der Akzeptanz automatisiertenFahrens. In: VDI (Ed.). Mensch-Maschine-Mobilität 2019. Der (Mit-)Fahrer im 21. Jahrhundert! VDI-Berichte 2360, pp. 1–19. VDI Verlag, Düsseldorf (2019)
Oehl, M., Ihme, K., Bosch, E., Pape, A.-A., Vukelić, M., Braun, M.: Emotions in the age of automated driving – developing use cases for empathic cars. In: Mensch und Computer 2019 - Workshopband. Gesellschaft für Informatik e.V., Bonn, Germany (2019)
Pape, A.-A., et al.: Empathic assistants, methods and use cases in automated and non-automated driving. In: Accepted for the Proceedings of the 20th Stuttgart International Symposium (2020)
Pollmann, K., Stefani, O., Bengsch, A., Peissner, M., Vukelić, M.: How to work in the car of the future? A neuroergonomical study assessing concentration, performance and workload based on subjective, behavioral and neurophysiological insights. In: 2019 CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2019). ACM, New York (2019)
Krüger, A., Peissner, M., Fronemann, N., Pollmann, K.: BUILDING IDEAS: guided design for experience. In: Proceedings of the 9th Nordic Conference on Human-Computer Interaction (NordiCHI 2016), Article 115, pp. 1–6. Association for Computing Machinery, New York (2016)
Kristiansen, P., Rasmussen, R.: Building a Better Business Using the Lego Serious Play Method. Wiley, Hoboken (2014)
Gauntlett, D.: Creative Explorations: New Approaches to Identities and Audiences. Routledge, London (2007)
Pettersson, I., et al.: Living room on the move. autonomous vehicles and social experiences. In: Proceedings of the 9th Nordic Conference on Human-Computer Interaction (NordiCHI 2016), Article 129, pp. 1–3. ACM, New York (2016)
The ‘25th hour’ project. https://www.audi-mediacenter.com/en/press-releases/audi-is-researching-the-use-of-time-in-the-robot-car-9120. Accessed 11 Oct 2019
Kun, A.L., Boll, S., Schmidt, A.: Shifting gears. User interfaces in the age of autonomous driving. IEEE Pervasive Comput. 1, 32–38 (2016)
Aviezer, H., et al.: Angry, disgusted, or afraid? Psychol. Sci. 19(7), 724–732 (2008)
Li., J., Braun, M., Butz, A., Alt, F.: Designing emotion-aware in-car interactions for unlike markets. In: AutomotiveUI 2019 Adjunct Proceedings. ACM, New York (2019)
Hall, E.: Beyond Culture. Doubleday, New York (1989)
Lachner, F.: User Experience in Cross-Cultural Contexts. Ph.D. Dissertation. LMU Munich (2019)
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Oehl, M., Ihme, K., Pape, AA., Vukelić, M., Braun, M. (2020). Affective Use Cases for Empathic Vehicles in Highly Automated Driving: Results of an Expert Workshop. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. Automated Driving and In-Vehicle Experience Design. HCII 2020. Lecture Notes in Computer Science(), vol 12212. Springer, Cham. https://doi.org/10.1007/978-3-030-50523-3_7
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