Abstract
In recent years, research on autonomous cars had an ever-increasing spread, exploring many of the technological elements, the intelligence necessary to build hardware and connections, the limits linked to legislation and ethical aspects. The automotive field is rich of interior style solutions, but the topics linked to interaction design and digital user experience are relatively young and need a different approach. In fact, if the higher limits were considered the cognitive workload, the attention and the reaction times required by a still semi-automatic drive, what are the methods to follow in order to obtain an innovative user experience, that also considers the aspects of complexity and of personal digital connections? The presented case study aims to describe the methodological approach and the first concepts developed for the research project that studies an innovative interface system for an autonomous vehicle, able to travel both on the ground and in flight.
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References
Andersen, J., et al.: Autonomous Vehicle Technology. RAND, Santa Monica (2016)
Fagnant, D., Kockelman, K.: Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transp. Res. Part A: Policy Pract. 77, 167–181 (2015)
Pavone, M., et al.: Robotic load balancing for mobility-on-demand systems. Int. J. Robot. Res. 31(7), 839–854 (2012)
Spieser, K., et al.: Toward a systematic approach to the design and evaluation of automated mobility-on-demand systems: a case study in Singapore. In: Road Vehicle Automation, pp. 229–245 (2014)
Strömberg, H., et al.: HMI of autonomous vehicles - more than meets the eye. In: Advances in Intelligent Systems and Computing, pp. 359–368 (2018)
Ghazizadeh, M., et al.: Extending the technology acceptance model to assess automation. Cogn. Technol. Work 14(1), 39–49 (2011)
Choi, J., Ji, Y.: Investigating the importance of trust on adopting an autonomous vehicle. Int. J. Hum.-Comput. Interact. 31(10), 692–702 (2015)
SAE International: Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles. SAE International, (J3016) (2016)
Ramm, S., et al.: A first approach to understanding and measuring naturalness in driver-car interaction. In: Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - AutomotiveUI 2014 (2014)
Helgath, J., et al.: Investigating the effect of different autonomy levels on user acceptance and user experience in self-driving cars with a VR driving simulator. In: Design, User Experience, and Usability: Users, Contexts and Case Studies, pp. 247–256 (2018)
Ekman, F., et al.: Exploring automated vehicle driving styles as a source of trust information. Transp. Res. Part F: Traffic Psychol. Behav. 65, 268–279 (2019)
Payre, W., et al.: Intention to use a fully automated car: attitudes and a priori acceptability. Transp. Res. Part F: Traffic Psychol. Behav. 27, 252–263 (2014)
Dixit, V., et al.: Autonomous vehicles: disengagements, accidents and reaction times. PLoS ONE 11(12), e0168054 (2016)
Amazon Technologies Inc.: Passenger profiles for autonomous vehicles (2018)
Dunne, A., Raby, F.: Speculative Everything: Design, Fiction, and Social Dreaming. The MIT Press, Cambridge (2013)
Bleecker, J.: Design Fiction: A Short Essay on Design, Science, Fact and Fiction, p. 29. Near Future Laboratory, Los Angeles (2009)
Kim, S., et al.: Autonomous taxi service design and user experience. Int. J. Hum.–Comput. Interact. 1–20 (2019)
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Di Salvo, A., Arcoraci, A. (2020). Exploring New Concepts to Create Natural and Trustful Dialogue Between Humans and Intelligent Autonomous Vehicles. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham. https://doi.org/10.1007/978-3-030-39512-4_6
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DOI: https://doi.org/10.1007/978-3-030-39512-4_6
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