• Suzanne Tolmeijer
  • Astrid Weiss
  • Marc Hanheide
  • Felix Lindner
  • Thomas M. Powers
  • Clare Dixon
  • Myrthe Tielman
We develop a taxonomy that categorizes HRI failure types and their impact on trust to structure the broad range of knowledge contributions. We further identify research gaps in order to support fellow researchers in the development of trustworthy robots. Studying trust repair in HRI has only recently been given more interest and we propose a taxonomy of potential trust violations and suitable repair strategies to support researchers during the development of interaction scenarios. The taxonomy distinguishes four failure types: Design, System, Expectation, and User failures and outlines potential mitigation strategies. Based on these failures, strategies for autonomous failure detection and repair are presented, employing explanation, verification and validation techniques. Finally, a research agenda for HRI is outlined, discussing identified gaps related to the relation of failures and HR-trust.
Original languageEnglish
Title of host publicationHRI 2020 - Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
Number of pages10
ISBN (Electronic)978-1-4503-6746-2
Publication statusPublished - 9 Mar 2020
EventHRI ’20: 15th Annual ACM/IEEE International Conference on Human-Robot Interaction - Cambridge, United Kingdom
Duration: 23 Mar 202026 Mar 2020
Conference number: 15


ConferenceHRI ’20: 15th Annual ACM/IEEE International Conference on Human-Robot Interaction
Abbreviated titleHRI ’20
CountryUnited Kingdom

    Research areas

  • Trust Repair, Trust Violation

ID: 71295580