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Understanding the effect of anthropomorphic features of humanoid social robots on user satisfaction: a stimulus-organism-response approach
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Number of Authors: 52025 (English)In: Industrial management & data systems, ISSN 0263-5577, E-ISSN 1758-5783, Vol. 125, no 2, p. 768-796Article in journal (Refereed) Published
Abstract [en]

Purpose: Humanoid social robots (HSRs) are an innovative technology revitalizing various service sectors, such as the hospitality industry. However, limited research has explored how anthropomorphic features of HSRs influence user satisfaction with the services delivered by HSRs. To address this, a research model was proposed to evaluate how three distinct anthropomorphic features: appearance, voice and response, impact the perceived values (i.e. utilitarian, social and hedonic values) of HSRs, which, in turn, influence user satisfaction. Design/methodology/approach: Data from an online survey of hotel customers was utilized to test the research model (N = 509). Findings: The results indicated that appearance, voice, and response affect perceived utilitarian, hedonic and social values differently. The response feature of HSRs demonstrated the strongest impact on perceived utilitarian, social and hedonic values. In addition, voice affected all three perceived values, while appearance only affected perceived utilitarian and social values. Furthermore, perceived utilitarian, hedonic and social values showed positive impacts on user satisfaction, with hedonic value being the most influential factor. Originality/value: This study contributes to the literature on HSRs and anthropomorphism by explaining how different anthropomorphic features affect users’ value perceptions and user satisfaction with HSR services by utilizing the stimulus-organism-response (SOR) framework.

Place, publisher, year, edition, pages
2025. Vol. 125, no 2, p. 768-796
Keywords [en]
Anthropomorphic features, Humanoid social robots, Stimulus-organism-response framework, User satisfaction, Value perceptions
National Category
Applied Psychology
Identifiers
URN: urn:nbn:se:su:diva-239970DOI: 10.1108/IMDS-10-2023-0781ISI: 001379970900001Scopus ID: 2-s2.0-85212428105OAI: oai:DiVA.org:su-239970DiVA, id: diva2:1941374
Available from: 2025-02-28 Created: 2025-02-28 Last updated: 2025-02-28Bibliographically approved

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Han, Shengnan

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