Social and Entertainment Gratifications of Videogame Play Comparing Robot, AI, and Human Partners

Research output: Chapter in Book/Entry/PoemConference contribution

5 Scopus citations

Abstract

As social robots' and AI agents' roles are becoming more diverse, those machines increasingly function as sociable partners. This trend raises questions about whether social gaming gratifications known to emerge in human-human co-play may (not) also manifest in human-machine co-play. In the present study, we examined social outcomes of playing a videogame with a human partner as compared to an ostensible social robot or A.I (i.e., computer-controlled player) partner. Participants (N = 103) were randomly assigned to three experimental conditions in which they played a cooperative video game with either a human, embodied robot, or non-embodied AI. Results indicated that few statistically significant or meaningful differences existed between any of the partner types on perceived closeness with partner, relatedness need satisfaction, or entertainment outcomes. However, qualitative data suggested that human and robot partners were both seen as more sociable, while AI partners were seen as more functional.

Original languageEnglish (US)
Title of host publication2019 28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728126227
DOIs
StatePublished - Oct 2019
Externally publishedYes
Event28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019 - New Delhi, India
Duration: Oct 14 2019Oct 18 2019

Publication series

Name2019 28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019

Conference

Conference28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019
Country/TerritoryIndia
CityNew Delhi
Period10/14/1910/18/19

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Optimization

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