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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 |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Event Title | 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’20) |
| Event Type | conference |
| Event Location | Cambridge |
| Event Start Date | March 23 - 2020 |
| Event End Date | March 26 - 2020 |
| Place of Publication | Cambridge, United Kingdom |
| Publisher | ACM |
| 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. |
| Digital Object Identifier | 10.1145/3319502.3374793 |
| Other Identification Number | merlin-id:19143 |
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