Abstract
The rise of evermore autonomy in vehicles and the expected introduction of self-driving cars have led to a focus on human interactions with such systems from an HCI perspective over the last years. Automotive User Interface researchers have been investigating issues such as transition control procedures, shared control, (over)trust, and overall user experience in automated vehicles. Now, it is time to open the research field of automated driving to other CHI research fields, such as Human-Robot-Interaction (HRI), aeronautics and space, conversational agents, or smart devices. These communities have been dealing with the interplay between humans and automated systems for more than 30 years. In this workshop, we aim to provide a forum to discuss what can be learnt from other domains for the design of autonomous vehicles. Interaction design problems that occur in these domains, such as transition control procedures, how to build trust in the system, and ethics will be discussed.
Original document
The different versions of the original document can be found in:
- https://oatao.univ-toulouse.fr/24800,
- https://doi.acm.org/10.1145/3170427.3170614,
- https://dl.acm.org/citation.cfm?id=3170614,
- https://research.tue.nl/en/publications/interacting-with-autonomous-vehicles-learning-from-other-domains,
- https://doi.org/10.1145/3170427.3170614,
- https://dl.acm.org/citation.cfm?doid=3170427.3170614,
- https://tue-staging.elsevierpure.com/en/publications/interacting-with-autonomous-vehicles-learning-from-other-domains,
- https://uni-salzburg.elsevierpure.com/de/publications/interacting-with-autonomous-vehicles-learning-from-other-domains,
- https://academic.microsoft.com/#/detail/2795465642
Document information
Published on 01/01/2018
Volume 2018, 2018
DOI: 10.1145/3170427.3170614
Licence: Other
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