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Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory

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  • Li, Jian
  • Huang, Jin-Song

Abstract

With the rapid development of artificial intelligence (AI), AI anxiety has emerged and is receiving widespread attention, but research on this topic is not comprehensive. Therefore, we investigated the dimensions of AI anxiety using the theoretical model of integrated fear acquisition and a questionnaire survey. A total of 494 valid questionnaires were recovered. Through a first-order confirmatory factor analysis (CFA), a factor model of AI anxiety was constructed, and eight factors of AI anxiety were verified. Then, a second-order CFA was applied to verify the adaptation of the factor structure of AI anxiety to fear acquisition. We identified four dimensions of AI anxiety and proposed a theory of AI anxiety acquisition that illustrates four pathways of AI anxiety acquisition. Each pathway includes two factors that cause AI anxiety. We conclude by analyzing the limitations of current AI anxiety research and proposing a broader research agenda for AI anxiety.

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  • Li, Jian & Huang, Jin-Song, 2020. "Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory," Technology in Society, Elsevier, vol. 63(C).
  • Handle: RePEc:eee:teinso:v:63:y:2020:i:c:s0160791x20300476
    DOI: 10.1016/j.techsoc.2020.101410
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    1. Noah Castelo & Bernd Schmitt & Miklos Sarvary, 2019. "Human or Robot? Consumer Responses to Radical Cognitive Enhancement Products," Journal of the Association for Consumer Research, University of Chicago Press, vol. 4(3), pages 217-230.
    2. Elizabeth Gibney, 2017. "Google reveals secret test of AI bot to beat top Go players," Nature, Nature, vol. 541(7636), pages 142-142, January.
    3. David S. Evans, 2009. "The Online Advertising Industry: Economics, Evolution, and Privacy," Journal of Economic Perspectives, American Economic Association, vol. 23(3), pages 37-60, Summer.
    4. Khasawneh, Odai Y., 2018. "Technophobia: Examining its hidden factors and defining it," Technology in Society, Elsevier, vol. 54(C), pages 93-100.
    5. Sara Kim & Rocky Peng Chen & Ke Zhang, 2016. "Anthropomorphized Helpers Undermine Autonomy and Enjoyment in Computer Games," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 43(2), pages 282-302.
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    Cited by:

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