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Influencing Human Performance: Investigating the Effect of Non-humanoid Robot Feedback on Task Performance

  • This paper reports the findings of an online between subject study that investigated the effectiveness of a non-humanoid socially assistive robot in providing positive reinforcement feedback to aid in improving performance on a cognitively demanding task. Four different feedback conditions were used, including verbal, expressive, neutral, and text-based feedback, to identify which type of feedback could positively influence behaviour. Results showed no significant differences in task performance, perceived workload or robot perception.

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Metadaten
Author:Mohammed Shabaj Ahmed, Manuel GiulianiORCiDGND, Paul BremnerORCiD
DOI:https://doi.org/10.1145/3610978.3640651
Identifier:979-8-4007-0323-2 OPAC HS OPAC extern
Parent Title (English):HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
Publisher:ACM
Place of publication:Boulder, Colorado
Document Type:conference proceeding (article)
Conference:19th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI), 11. - 15. März 2024, Boulder (Colorado)
Language:English
Date of Publication (online):2024/03/11
Year of first Publication:2024
Tag:Positive reinforcement feedback; non-humanoid socially assistive robot; persuasion and influence; task engagement and motivation
Number of pages:5 Seiten
First Page:182
Last Page:186
Institutes:Fakultät Elektrotechnik
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 60 Technik
Open Access:open_access
Research focus:FSP4: Soziale Innovationen
Publication Lists:Giuliani, Manuel
Publication reviewed:begutachtet
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International
Release Date:2024/04/09
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