Taxonomy of Trust-Relevant Failures and Mitigation Strategies

Conference paper (2020)

Authors

Suzanne Tolmeijer University of Zürich
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
M.L. Tielman Interactive Intelligence - EEMCS
Research Group
Interactive Intelligence (EEMCS) (TU Delft)
Copyright: © 2020 Suzanne Tolmeijer, Astrid Weiss, Marc Hanheide, Felix Lindner, Thomas M. Powers, Clare Dixon, M.L. Tielman
DOI: https://doi.org/10.1145/3319502.3374793
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Published Date

09-03-2020

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Interactive Intelligence

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.