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extended-abstract

Let's Negotiate with Automation: How can Humans and HMIs Negotiate Disagreement on Automated Vehicles?

Published: 17 September 2022 Publication History

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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cover image ACM Conferences
AutomotiveUI '22: Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
September 2022
225 pages
ISBN:9781450394284
DOI:10.1145/3544999
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Publication History

Published: 17 September 2022

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Author Tags

  1. Automated driving
  2. Design thinking
  3. Human-machine interaction
  4. Negotiation

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  • Extended-abstract
  • Research
  • Refereed limited

Funding Sources

  • European Union's Horizon 2020
  • European Union?s Horizon 2020

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AutomotiveUI '22
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Overall Acceptance Rate 248 of 566 submissions, 44%

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