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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00127295" target="_blank" >RIV/00216224:14330/22:00127295 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-031-20212-4_6" target="_blank" >http://dx.doi.org/10.1007/978-3-031-20212-4_6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-20212-4_6" target="_blank" >10.1007/978-3-031-20212-4_6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Entertainment Computing – ICEC 2022: 21st IFIP TC 14 International Conference

ISBN

9783031202117

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

13

Strana od-do

76-88

Název nakladatele

Springer

Místo vydání

Bremen, Germany

Místo konání akce

Bremen, Germany

Datum konání akce

1. 1. 2022

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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