Exploring influencing variables for the acceptance of social robots.

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  • Additional Information
    • Author-Supplied Keywords:
      Hedonic variables
      Social robots
      User acceptance
      User characteristics
      User study
      Utilitarian variables
    • Abstract:
      Abstract: In order to introduce social robots successfully, we must first understand the underlying reasons whereupon potential users accept these robots to reside within their own homes. An extensive literature review has been conducted and provides an overview of variables influencing the acceptance of social robots categorized by utilitarian variables, hedonic variables, user characteristics, social normative beliefs and control beliefs. In a user study, in which 60 participants interacted with a social robot, both the robot itself and the interaction experience the users had with the robot were evaluated. The results indicate that especially the variables of usefulness, adaptability, enjoyment, sociability, companionship and perceived behavioral control are important evaluating the user acceptance of social robots. Hence, the present study contributes to human–robot interaction research by designating the variables that lead to social robot acceptance. Subsequently, this study may serve as a onset in developing an integral model which takes into consideration the relevant determinants of social robot acceptance. [Copyright &y& Elsevier]
    • :
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    • Author Affiliations:
      1University of Twente, Department of Media, Communication and Organization, Enschede, The Netherlands
    • ISSN:
      0921-8890
    • Accession Number:
      10.1016/j.robot.2013.07.007
    • Accession Number:
      91601139
  • Citations
    • ABNT:
      DE GRAAF, M. M. A.; BEN ALLOUCH, S. Exploring influencing variables for the acceptance of social robots. Robotics & Autonomous Systems, [s. l.], v. 61, n. 12, p. 1476–1486, 2013. DOI 10.1016/j.robot.2013.07.007. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asr&AN=91601139. Acesso em: 11 ago. 2020.
    • AMA:
      de Graaf MMA, Ben Allouch S. Exploring influencing variables for the acceptance of social robots. Robotics & Autonomous Systems. 2013;61(12):1476-1486. doi:10.1016/j.robot.2013.07.007
    • APA:
      de Graaf, M. M. A., & Ben Allouch, S. (2013). Exploring influencing variables for the acceptance of social robots. Robotics & Autonomous Systems, 61(12), 1476–1486. https://doi.org/10.1016/j.robot.2013.07.007
    • Chicago/Turabian: Author-Date:
      de Graaf, Maartje M.A., and Somaya Ben Allouch. 2013. “Exploring Influencing Variables for the Acceptance of Social Robots.” Robotics & Autonomous Systems 61 (12): 1476–86. doi:10.1016/j.robot.2013.07.007.
    • Harvard:
      de Graaf, M. M. A. and Ben Allouch, S. (2013) ‘Exploring influencing variables for the acceptance of social robots’, Robotics & Autonomous Systems, 61(12), pp. 1476–1486. doi: 10.1016/j.robot.2013.07.007.
    • Harvard: Australian:
      de Graaf, MMA & Ben Allouch, S 2013, ‘Exploring influencing variables for the acceptance of social robots’, Robotics & Autonomous Systems, vol. 61, no. 12, pp. 1476–1486, viewed 11 August 2020, .
    • MLA:
      de Graaf, Maartje M. A., and Somaya Ben Allouch. “Exploring Influencing Variables for the Acceptance of Social Robots.” Robotics & Autonomous Systems, vol. 61, no. 12, Dec. 2013, pp. 1476–1486. EBSCOhost, doi:10.1016/j.robot.2013.07.007.
    • Chicago/Turabian: Humanities:
      de Graaf, Maartje M.A., and Somaya Ben Allouch. “Exploring Influencing Variables for the Acceptance of Social Robots.” Robotics & Autonomous Systems 61, no. 12 (December 2013): 1476–86. doi:10.1016/j.robot.2013.07.007.
    • Vancouver/ICMJE:
      de Graaf MMA, Ben Allouch S. Exploring influencing variables for the acceptance of social robots. Robotics & Autonomous Systems [Internet]. 2013 Dec [cited 2020 Aug 11];61(12):1476–86. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asr&AN=91601139