Let's Negotiate with Automation

How can Humans and HMIs Negotiate Disagreement on Automated Vehicles?

Conference Paper (2022)
Author(s)

Soyeon Kim (TU Delft - Human Technology Relations)

E.D. van Grondelle (TU Delft - Form and Experience)

I.M. van Zeumeren (TU Delft - Form and Experience)

Alexander G. Mirnig (University of Salzburg)

Kristina Stojmenova (University of Ljubljana)

Research Group
Human Technology Relations
Copyright
© 2022 S. Kim, E.D. van Grondelle, I.M. van Zeumeren, Alexander G. Mirnig, Kristina Stojmenova
DOI related publication
https://doi.org/10.1145/3544999.3550159
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 S. Kim, E.D. van Grondelle, I.M. van Zeumeren, Alexander G. Mirnig, Kristina Stojmenova
Research Group
Human Technology Relations
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
179-181
ISBN (electronic)
978-1-4503-9428-4
Reuse Rights

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Abstract

In automated vehicles, the driver and the vehicle make a decision on the driving. However, there is no guarantee that drivers always agree or follow the system's decision. Drivers can reject the system's proposal or regain control, and it reduces the usefulness of automated vehicles. When a decision conflict happens, the vehicle can negotiate with the driver. Human-human communication depends on the individual's attitude and situation. Similarly, the negotiation style needs to differ depending on the context of conflict and the cause of disagreement. In this workshop, we address the negotiation approach to designing HMI and discuss considerations for applying the human-human negotiation style to human-automated vehicle interaction design. HMI design using a negotiation approach can address the decision conflict between humans and automation and expect enhancing trust and acceptance.

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