GERDENITSCH, Cornelia, Matthias WEINHOFER, Jaison PUTHENKALAM and Simone KRIGLSTEIN. Upward Influence Tactics: Playful Virtual Reality Approach for Analysing Human Multi-robot Interaction. In Entertainment Computing – ICEC 2022: 21st IFIP TC 14 International Conference. Bremen, Germany: Springer. p. 76-88. ISBN 978-3-031-20211-7. doi:10.1007/978-3-031-20212-4_6. 2022.
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Basic information
Original name Upward Influence Tactics: Playful Virtual Reality Approach for Analysing Human Multi-robot Interaction
Authors GERDENITSCH, Cornelia, Matthias WEINHOFER, Jaison PUTHENKALAM and Simone KRIGLSTEIN (40 Austria, belonging to the institution).
Edition Bremen, Germany, Entertainment Computing – ICEC 2022: 21st IFIP TC 14 International Conference, p. 76-88, 13 pp. 2022.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/22:00127295
Organization unit Faculty of Informatics
ISBN 978-3-031-20211-7
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-031-20212-4_6
Keywords in English Virtual reality; Robot; Leadership; Influence tactics; Human robot interaction
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 6/4/2023 09:26.
Abstract
The interest, the potential, and also the technical development in artificial intelligence assistants shows us that these will play an essential role in the future of work. Exploring the interaction and communication between human and artificial intelligence (AI) assistants forms the basis for the development of trustworthy and meaningful AI-based systems. In this paper we focused on the question how humans react to AI - more precisely, AI gents as robots - that act to influence human behavior and emotions by using two upward influencing tactics: Ingratiating and Blocking. For this purpose, we developed a playful virtual reality approach that creates a leader-subordinate relationship between humans and the AI agents in a factory environment. We explore how humans react to those agents. Among other things, we found that behaviors that are seen as likable in humans are perceived as distracting in robots (e.g., compliments used by the ingratiating tactic). Further, robots were perceived as a group and not as individuals. Our findings showed us directions and open questions which need to be investigated in future work investigating human-multi-robot interaction at the workplace.
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