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Service robots with (perceived) theory of mind: An examination of humans’ reactions

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  • Söderlund, Magnus

Abstract

In the near future, it is expected that we humans will receive an increasing part of various services from robots. Many observers, and several existing studies, indicate that we react more positively if our robots have humanlike attributes and capabilities, and the present study examines one such capability: theory of mind. It has to do with the ability to impute mental states to others, which is essential for human-to-human interaction (including interactions in service settings). More specifically, the present study examines the effects of perceptions of service robots' theory of mind capabilities in human-to-robot interactions when the main downstream variable is perceived service quality. Several mediators are also examined. To this end, two empirical studies comprising human-to-robot interactions in a domestic setting were conducted. Both studies indicate that a service robot with more as opposed to less perceived theory of mind enhances perceived service quality, and that this effect is mediated by perceived humanness and perceived usefulness in relation to the robot. It may be argued that a robot's theory of mind capability can also be seen as creepy, which may reduce perceived service quality, because a competent mind reader can create serious harm to others. In the present study, however, robotic theory of mind capabilities did not influence creepiness perceptions.

Suggested Citation

  • Söderlund, Magnus, 2022. "Service robots with (perceived) theory of mind: An examination of humans’ reactions," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
  • Handle: RePEc:eee:joreco:v:67:y:2022:i:c:s0969698922000923
    DOI: 10.1016/j.jretconser.2022.102999
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    References listed on IDEAS

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    1. Jonas Foehr & Claas Christian Germelmann, 2020. "Alexa, Can I Trust You? Exploring Consumer Paths to Trust in Smart Voice-Interaction Technologies," Journal of the Association for Consumer Research, University of Chicago Press, vol. 5(2), pages 181-205.
    2. Soderlund, Magnus & Oikarinen, Eeva-Liisa & Tan, Teck Ming, 2021. "The happy virtual agent and its impact on the human customer in the service encounter," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    3. Nicholas Epley, 2018. "A Mind like Mine: The Exceptionally Ordinary Underpinnings of Anthropomorphism," Journal of the Association for Consumer Research, University of Chicago Press, vol. 3(4), pages 591-598.
    4. Hartline, Michael D. & Jones, Keith C., 1996. "Employee performance cues in a hotel service environment: Influence on perceived service quality, value, and word-of-mouth intentions," Journal of Business Research, Elsevier, vol. 35(3), pages 207-215, March.
    5. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    6. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    7. Markus Blut & Cheng Wang & Nancy V. Wünderlich & Christian Brock, 2021. "Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 632-658, July.
    8. Pankaj Aggarwal & Ann L. McGill, 2007. "Is That Car Smiling at Me? Schema Congruity as a Basis for Evaluating Anthropomorphized Products," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(4), pages 468-479, June.
    9. Hassan Damerji & Anwar Salimi, 2021. "Mediating effect of use perceptions on technology readiness and adoption of artificial intelligence in accounting," Accounting Education, Taylor & Francis Journals, vol. 30(2), pages 107-130, March.
    10. Rudd, Melanie & Vohs, Kathleen D. & Aaker, Jennifer, 2012. "Awe Expands People's Perception of Time, Alters Decision Making, and Enhances Well-Being," Research Papers 2095, Stanford University, Graduate School of Business.
    11. Palan, Stefan & Schitter, Christian, 2018. "Prolific.ac—A subject pool for online experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 17(C), pages 22-27.
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