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Article published In: Interaction Studies
Vol. 23:1 (2022) ► pp.21–57

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“I know how you feel”

The importance of interaction style on users’ acceptance in an entertainment scenario

 | Institut de Robòtica i Informàtica Industrial
 | Universitat de Barcelona
 | Universitat de Barcelona
 | Institut de Robòtica i Informàtica Industrial
 | Institut de Robòtica i Informàtica Industrial
Published online: 20 October 2022
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https://doi.org/10.1075/is.21019.and
Abstract
In this article, we aim to evaluate the role of robots’ personality-driven behavioural patterns on users’ intention to use in an entertainment scenario. Toward such a goal, we designed two personalities: one introverted with an empathic and self-comparative interaction style, and the other extroverted with a provocative and other-comparative interaction style. To evaluate the proposed technology acceptance model, we conducted an experiment (N = 209) at a public venue where users were requested to play a game with the support of the TIAGo robot. Our findings show that the robot personality affects the acceptance model and three relevant drivers: perceived enjoyment, perceived usefulness, and social influence. The extroverted robot was perceived as more useful than the introverted, and participants who interacted with it were faster at solving the game. On the other hand, the introverted robot was perceived as more enjoyable but less useful than the extroverted, and participants who interacted with it made fewer mistakes. Taken together, these findings support the importance of designing proper robot personalities in influencing users’ acceptance, featuring that a given style can elicit a different driver of acceptance.
Article outline
  • 1.Introduction
    • 1.1Research questions
    • 1.2Hypotheses
    • 1.3Contributions
  • 2.Related work
    • 2.1Robot communication style
    • 2.2Robot personality
    • 2.3Technology acceptance model
  • 3.The proposed model of acceptance
  • 4.The “guessing the Nobel prize winner” game
  • 5.Modelling robot personality-driven behaviour patterns
    • 5.1Modelling robot personality
    • 5.2Modelling robot assistive communication style
  • 6.Experimental design
    • 6.1Metrics
    • 6.2Apparatus
    • 6.3Pre-test: Validating robot personality
    • 6.4Procedure and sample
  • 7.Results
    • 7.1Psychometric characteristics
    • 7.2General structure model of the modified UTAUT
    • 7.3Acceptance model based on robot personality
    • 7.4Participants performance
  • 8.Discussion and conclusion
  • 9.Limitation and future work
  • Notes
  • Acronyms
  • References
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