299
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Human-robot swarm interaction: coordinated role of human mind mindsets and robot group entitativity

&
Pages 1241-1253 | Received 23 Nov 2022, Accepted 07 Apr 2023, Published online: 28 Apr 2023
 

ABSTRACT

The one-on-one human–robot interaction has expanded to the group level; robot groups are increasingly exerting psychosocial implications on human beings. However, how people interact with robot groups, especially how human factors and robot group factors coordinate to influence people’s responses to robot groups, is underexplored. To investigate this issue, the present study examined the interaction effect between individual differences in fixed and growth mindsets about the human mind and the fundamental characteristics of robot groups (i.e. entitativity) on responses to the robots during human–robot interaction. We induced mindsets (fixed or growth) about the human mind and manipulated the level of robot group entitativity (high or low) to capture responses to robots during human–robot interaction using virtual reality (VR) technology. The results revealed that a growth (versus fixed) mindset about the human mind promoted self-disclosure toward, and reduced behavioural anxiety with respect to robot groups with high (versus low) entitativity. We found that increased psychological closeness with robots accounted for these effects. Our findings contribute to research on the determinants of human–robot relationships and present implications for human–robot interactions at the group level.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The authors gratefully acknowledge the financial support provided by the Natural Science Foundation of China [grant number 32100869; 32271124], the Project of Humanities and Social Science Research of the Ministry of Education of China [grant number 21YJC190003], the Major Project of the National Social Science Foundation of China [grant number 18ZDA332], the Fundamental Research Funds for the Central University [grant number 2019NTSS30]. The funders had no role in study design, data collection, decision to publish, or preparation of the manuscript.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 333.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.