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

被引：141
作者：
Gansser, Oliver Alexander [1 ]
Reich, Christina Stefanie [1 ]
机构：
[1] FOM Univ Appl Sci, Inst Empir Res Stat, Arnulfstr 30, D-80335 Munich, Germany
来源：
TECHNOLOGY IN SOCIETY | 2021年 / 65卷
关键词：
Artificial intelligence; Technology acceptance; Consumer behavior; User acceptance; Structural equation model; USER ACCEPTANCE; INFORMATION-TECHNOLOGY; BEHAVIORAL-RESEARCH; PERCEIVED RISK; CONSUMER; INTENTION; ADOPTION; EXPERIENCE; TRUST;
D O I：
10.1016/j.techsoc.2021.101535
中图分类号：
D58 [社会生活与社会问题]; C913 [社会生活与社会问题];
学科分类号：
摘要：
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.
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页数：15
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