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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Taxonomy of Trust-Relevant Failures and Mitigation Strategies
Organization Unit
Authors
  • Suzanne Tolmeijer
  • Astrid Weiss
  • Marc Hanheide
  • Felix Lindner
  • Thomas M. Powers
  • Clare Dixon
  • Myrthe. L. Tielman
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Event Title 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’20)
Event Type conference
Event Location Cambridge, UK
Event Start Date March 23 - 2020
Event End Date March 26 - 2020
Place of Publication Cambridge, United Kingdom
Abstract Text 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.
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