Creating a framework for a user-friendly cobot failure management in human-robot collaboration

  • Solving failures is part of our private and work lives. With the ongoing changes in the industrial production setting, we have to deal with new failure originators: collaborative robots (cobots). Failure communication and subsequent recovery are essential to improve performance and restore trust after cobot failures. Therefore, we propose a framework for cobot failure management (FCFM) to support failure communication and solving in the production context. In a study with workers (N = 35), we investigate the impact of the helpfulness of the FCFM for workers. The first preliminary results demonstrate that the FCFM helps facilitate failure communication and rectification.

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Metadaten
Author:Stina KleinORCiDGND, Jenny Huch, Nadine Reißner, Pamina ZwolskyORCiD, Katharina WeitzORCiDGND, Matthias KrausORCiDGND, Elisabeth AndréORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1128239
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/112823
ISBN:979-8-4007-0323-2OPAC
Parent Title (English):HRI '24: companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, Boulder, CO, USA, March 11-15, 2024
Publisher:ACM
Place of publication:New York, NY
Editor:Dan Grollman, Elizabeth Broadbent, Wendy Ju, Harold Soh, Tom Williams
Type:Conference Proceeding
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2024/05/03
First Page:618
Last Page:622
DOI:https://doi.org/10.1145/3610978.3640591
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Menschzentrierte Künstliche Intelligenz
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)