USER ACCEPTANCE OF SOCIAL ROBOTS: A SOCIAL RESPONSE PERSPECTIVE

Anthropomorphism of social robots has been argued to be an important factor that determines individuals’ usage of social robots. Little research on social robots has explained how the anthropomorphic design of social robots affects users’ social responses to social robots and how social responses further affect user acceptance of social robots. Drawing on the social response theory, we propose a conceptual model to examine user acceptance of social robots. Specifically, three anthropomorphic features (appearance, voice, and response) are proposed to trigger users’ social responses (perceived social presence and perceived humanness) to social robots, which lead to individuals’ intention to accept social robots. The proposed research model will be empirically tested with data collected among hotel customers via an online experiment. The current study aims to contribute to the social robot acceptance literature from the social response perspective

Do You Trust Social Robots? An Uncanny Valley Theory Perspective

Social robots have been increasingly popular during the past decade. Anthropomorphism is identified as a critical factor affecting social robots’ acceptance. A conceptual model is proposed to examine social robots’ user acceptance based on the theory of the uncanny valley. User perception of the anthropomorphism level (low, medium, and high) of social robots is proposed to affect users’ perceived uncanniness and humanness of social robots, which influences user trust in social robots, and user trust will lead to users’ intention to use social robots. The theoretical model will be empirically tested through an experiment conducted online targeting the hospitality industry. The study will contribute to social robotic acceptance literature by explaining how anthropomorphism affects user trust in social robots via perceived uncanniness and humanness, as well as how user trust influences user acceptance of social robots.publishedVersionPeer reviewe

Do You Trust Social Robots? An Uncanny Valley Theory Perspective

Social robots have been increasingly popular during the past decade. Anthropomorphism is identified as a critical factor affecting social robots’ acceptance. A conceptual model is proposed to examine social robots’ user acceptance based on the theory of the uncanny valley. User perception of the anthropomorphism level (low, medium, and high) of social robots is proposed to affect users’ perceived uncanniness and humanness of social robots, which influences user trust in social robots, and user trust will lead to users’ intention to use social robots. The theoretical model will be empirically tested through an experiment conducted online targeting the hospitality industry. The study will contribute to social robotic acceptance literature by explaining how anthropomorphism affects user trust in social robots via perceived uncanniness and humanness, as well as how user trust influences user acceptance of social robots

Disentangling the Effect of Anthropomorphic Features on Acceptance of Social Robots

The anthropomorphic features of social robots are closely linked to user acceptance of social robots. Few studies have examined how anthropomorphic features affect user perceptions of the functions of social robots, a factor that can drive user acceptance of social robots. To answer this question, this study proposes a research model to investigate the effect of three key anthropomorphic features (appearance, voice, and response) of social robots on user perceptions of the robots’ utilitarian, hedonic, and social functions, which motivate users’ intention to accept social robots. The proposed research model will be validated with data collected via an online experiment in the hotel context. The research is expected to enrich the literature of social robot acceptance by linking anthropomorphic features and functions of social robots

A Review of the Empirical Literature on Service Robots in Information Systems Literature

Research on Artificial Intelligence (AI) robots has surged as an important topic in Information Systems (IS) domain. Although much research is empirically conducted, the available literature is fragmented and there is a lack of comprehensive understanding of current literature on service robots. Based on a review of 55 selected articles published in the top 10 IS journals and the four leading international conferences in IS field, this study identified the main research themes on robot research in IS field from the views of individuals, organizations, and design. Some suggestions for future research are also raised based on the findings in the review

A Review of the Empirical Literature on Service Robots in Information Systems Literature

Research on Artificial Intelligence (AI) robots has surged as an important topic in Information Systems (IS) domain. Although much research is empirically conducted, the available literature is fragmented and there is a lack of comprehensive understanding of current literature on service robots. Based on a review of 55 selected articles published in the top 10 IS journals and the four leading international conferences in IS field, this study identified the main research themes on robot research in IS field from the views of individuals, organizations, and design. Some suggestions for future research are also raised based on the findings in the review.publishedVersionPeer reviewe