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Emergence of Social Robot Technology and Its Friction-Free Diffusion in Society: From Engineering Aesthetics and Compatibility Perspective

A social robot utilizes artificial intelligence (AI) technology to engage and interact with humans and several studies have explored the various functionalities of social robots. However, limited research has been conducted on how factors such as aesthetics and compatibility can influence individuals' intention to use social robots. Consequently, the aim of this research study is to address this gap and provide insights in this area. The study adopts the technology acceptance model, theory of planned behavior, and innovation diffusion theory to investigate the cognitive and psychological factors that impact an individual's intention to use social robots. The study uses self-efficacy, and innovativeness as the predictors of compatibility. Also, the study uses personal norms, and social norms as predictors of aesthetics. Taking account of theories and current literature, we developed a conceptual model and validated it using the partial least squares structural equation modeling technique with 372 respondents. The study found that compatibility and aesthetics are important factors impacting individuals’ intentions to use social robots.
- Parthenope University of Naples Italy
- Paris School of Business France
- Pôle Universitaire Léonard de Vinci France
- EMLYON Business School France
- Paris School of Business France
Corporate Governance, Sustainability, pandemic, TOE, DCV, Business continuity, industry 4.0, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, [SHS.GESTION] Humanities and Social Sciences/Business administration
Corporate Governance, Sustainability, pandemic, TOE, DCV, Business continuity, industry 4.0, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, [SHS.GESTION] Humanities and Social Sciences/Business administration
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
