Upward Influence Tactics: Playful Virtual Reality Approach for Analysing Human Multi-Robot Interaction

Cornelia Gerdenitsch, Matthias Weinhofer, Jaison Puthenkalam, Simone Kriglstein (Vortragende:r)

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

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.
OriginalspracheEnglisch
TitelThe 21st IFIP International Conference on Entertainment Computing
Herausgeber (Verlag)Springer
Seiten76-88
Seitenumfang13
ISBN (Print)978-3-031-20211-7
DOIs
PublikationsstatusVeröffentlicht - 2022
VeranstaltungThe 21st IFIP International Conference on Entertainment Computing -
Dauer: 1 Nov. 20223 Nov. 2022

Konferenz

KonferenzThe 21st IFIP International Conference on Entertainment Computing
Zeitraum1/11/223/11/22

Research Field

  • Experience Business Transformation

Schlagwörter

  • Virtual reality
  • Robot
  • Leadership
  • Influence Tactics
  • Human robot interaction

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