Taxonomy of Trust-Relevant Failures and Mitigation Strategies
Suzanne Tolmeijer (Universitat Zurich)
Astrid Weiss (Technische Universität Wien)
Marc Hanheide (University of Lincoln)
Felix Lindner (University of Ulm)
Thomas M. Powers (University of Delaware)
Clare Dixon (University of Liverpool)
Myrthe Tielman (TU Delft - Interactive Intelligence)
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Abstract
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.