Modeling the acceptance of socially interactive robotics: Social presence in human–robot interaction
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
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Interaction Studies 12 (3):430-460 (2011)
Based on an integrated theoretical framework, this study analyzes user acceptance behavior toward socially interactive robots focusing on the variables that influence the users' attitudes and intentions to adopt robots. Individuals' responses to questions about attitude and intention to use robots were collected and analyzed according to different factors modified from a variety of theories. The results of the proposed model explain that social presence is key to the behavioral intention to accept social robots. The proposed model shows the significant roles of perceived adaptivity and sociability, both of which affect attitude as well as influence perceived usefulness and perceived enjoyment, respectively. These factors can be key features of users' expectations of social robots, which can give practical implications for designing and developing meaningful social interaction between robots and humans. The new set of variables is specific to social robots, acting as factors that enhance attitudes and behavioral intentions in human-robot interactions. Keywords: Robot acceptance model; Socially interactive robots; Social robots; Social presence
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