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Acceptance of social robot and its challenges: From privacy calculus perspectives

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  • Chatterjee, Sheshadri
  • Chaudhuri, Ranjan
  • Vrontis, Demetris

Abstract

The aim of this study is to examine human–robot interaction (HRI) from the perspective of security, privacy, as well as social and personal norms. This study also strives to investigate users' hedonic and utilitarian attitudes towards using social robots. A social robot is a physical humanoid robot that communicates and interacts with humans and other devices. Social robots follow social rules and behaviors which make them different from other kinds of robots. They often behave like social partners to humans and have features such as eye-gaze, speech recognition, auto-gestures, and so on. Social robots use different types of sensitive data from the users which could pose security challenges and privacy threats. Not many studies have dealt with human–robot interactions (HRI) from security, privacy, social norms, and personal norms perspectives. With the existing literature as well as privacy calculus, motivational theory, and theory of planned behavior (TPB), a model has been developed conceptually, which was then validated using a sample of 403 users contemplating using social robots in the coming days. The study found that both users' hedonic and utilitarian attitudes impact significantly and positively their usage of social robots.

Suggested Citation

  • Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris, 2023. "Acceptance of social robot and its challenges: From privacy calculus perspectives," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    • Handle: RePEc:eee:tefoso:v:196:y:2023:i:c:s0040162523005474
    DOI: 10.1016/j.techfore.2023.122862
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    References listed on IDEAS

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    1. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Thrassou, Alkis & Ghosh, Soumya Kanti, 2021. "Adoption of artificial intelligence-integrated CRM systems in agile organizations in India," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    2. Mishra, Anubhav & Maheswarappa, Satish S. & Maity, Moutusy & Samu, Sridhar, 2018. "Adolescent's eWOM intentions: An investigation into the roles of peers, the Internet and gender," Journal of Business Research, Elsevier, vol. 86(C), pages 394-405.
    3. Alladi Venkatesh, 2008. "Digital home technologies and transformation of households," Information Systems Frontiers, Springer, vol. 10(4), pages 391-395, September.
    4. Sheshadri Chatterjee & Kalyan Kumar Bhattacharjee & Chia-Wen Tsai & Amit Kumar Agrawal, 2021. "Impact of peer influence and government support for successful adoption of technology for vocational education: A quantitative study using PLS-SEM technique," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(6), pages 2041-2064, December.
    5. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    6. Chang, Woojung & Kim, Kyoungmi (Kate), 2022. "Appropriate service robots in exchange and communal relationships," Journal of Business Research, Elsevier, vol. 141(C), pages 462-474.
    7. Borghi, Matteo & Mariani, Marcello M., 2022. "The role of emotions in the consumer meaning-making of interactions with social robots," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    8. repec:eme:ijlma0:ijlma-06-2021-0156 is not listed on IDEAS
    9. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    10. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    11. Clay M. Voorhees & Michael K. Brady & Roger Calantone & Edward Ramirez, 2016. "Discriminant validity testing in marketing: an analysis, causes for concern, and proposed remedies," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 119-134, January.
    12. Søraa, Roger Andre & Nyvoll, Pernille & Tøndel, Gunhild & Fosch-Villaronga, Eduard & Serrano, J. Artur, 2021. "The social dimension of domesticating technology: Interactions between older adults, caregivers, and robots in the home," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    Full references (including those not matched with items on IDEAS)

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