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A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application

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  • Gansser, Oliver Alexander
  • Reich, Christina Stefanie

Abstract

More and more products in everyday life are using artificial intelligence (AI). The purpose of this research is to investigate influence factors in an acceptance model on behavioral intention and use behavior for products containing AI in an everyday life environment. Using PLS-Analysis, this study analyzes additional influence factors to the UTAUT2 model in the three application segments mobility, household, and health, using a sample of 21,841 respondents. Except for safety security, all additional factors to the UTAUT2 model play a relevant role in explaining behavioral intention and use behavior of products containing AI. This study answers the applicability of an established acceptance model for products that incorporate AI, extended by five additional influencing factors.

Suggested Citation

  • Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
  • Handle: RePEc:eee:teinso:v:65:y:2021:i:c:s0160791x21000105
    DOI: 10.1016/j.techsoc.2021.101535
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    12. Wei Wei & Jie Sun & Wei Miao & Tong Chen & Hanchu Sun & Shuyuan Lin & Chao Gu, 2024. "Using the Extended Unified Theory of Acceptance and Use of Technology to explore how to increase users’ intention to take a robotaxi," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
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