A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application
By O. Gansser, C. Reich. 2021
303 citations recorded by the source corpus.
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.
Subfields: Applied Psychology, Information Systems and Management, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/5d76112df04fc8cdd2c4cc8bcc2fda8a09fac6bb
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In Applied Psychology
In Information Systems and Management
Citations in the corpus
- The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence (2022, background): “Gansser and Reich (2021) simply describe AI as a technology that was developed to ease human life and help people in certain scenarios.”