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

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.