IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v63y2020ics0160791x20300476.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X20300476
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2020.101410?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arsenyan, Jbid & Mirowska, Agata & Piepenbrink, Anke, 2023. "Close encounters with the virtual kind: Defining a human-virtual agent coexistence framework," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    2. Zhang, Lixuan & Yencha, Christopher, 2022. "Examining perceptions towards hiring algorithms," Technology in Society, Elsevier, vol. 68(C).
    3. Zhang, Weidong & Zuo, Na & He, Wu & Li, Songtao & Yu, Lu, 2021. "Factors influencing the use of artificial intelligence in government: Evidence from China," Technology in Society, Elsevier, vol. 66(C).
    4. Li, Jian & Huang, Jinsong & Li, Yaqi, 2023. "Examining the effects of authenticity fit and association fit: A digital human avatar endorsement model," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    5. Pham, Hong Chuong & Duong, Cong Doanh & Nguyen, Giang Khanh Huyen, 2024. "What drives tourists’ continuance intention to use ChatGPT for travel services? A stimulus-organism-response perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    6. Xuequn Wang & Xiaolin Lin & Bin Shao, 2023. "Artificial intelligence changes the way we work: A close look at innovating with chatbots," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(3), pages 339-353, March.
    7. Wang, Xiaoyi & Qiu, Xingyi, 2024. "The positive effect of artificial intelligence technology transparency on digital endorsers: Based on the theory of mind perception," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    8. Burton, Joe, 2023. "Algorithmic extremism? The securitization of artificial intelligence (AI) and its impact on radicalism, polarization and political violence," Technology in Society, Elsevier, vol. 75(C).
    9. Bossert, Leonie & Hagendorff, Thilo, 2021. "Animals and AI. The role of animals in AI research and application – An overview and ethical evaluation," Technology in Society, Elsevier, vol. 67(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hoyer, Wayne D. & Kroschke, Mirja & Schmitt, Bernd & Kraume, Karsten & Shankar, Venkatesh, 2020. "Transforming the Customer Experience Through New Technologies," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 57-71.
    2. Huang, Jingya & Wang, Liangyan & Chan, Eugene, 2024. "When does anthropomorphism hurt? How tool anthropomorphism negatively affects consumers' rewards for tool users," Journal of Business Research, Elsevier, vol. 170(C).
    3. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    4. Liu Xingyi, 2016. "Fear of Discrimination: Net Neutrality and Product Differentiation on the Internet," Review of Network Economics, De Gruyter, vol. 15(4), pages 211-247, December.
    5. Bayer, Emanuel & Srinivasan, Shuba & Riedl, Edward J. & Skiera, Bernd, 2020. "The impact of online display advertising and paid search advertising relative to offline advertising on firm performance and firm value," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 789-804.
    6. Zhang, Ke & Hou, Yuansi & Li, Gang, 2020. "Threat of infectious disease during an outbreak: Influence on tourists' emotional responses to disadvantaged price inequality," Annals of Tourism Research, Elsevier, vol. 84(C).
    7. Wei Zhou & Zidong Wang, 2020. "Competing for Search Traffic in Query Markets: Entry Strategy, Platform Design, and Entrepreneurship," Working Papers 20-12, NET Institute.
    8. Avi Goldfarb, 2014. "What is Different About Online Advertising?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(2), pages 115-129, March.
    9. Eddie John Paul Fisher & Eddie Fisher, 2024. "Fresh thinking about Neo-genetic and Social Perspectives of Mind Upload capabilities beyond the Biological Human Body," Journal of Social Science Studies, Macrothink Institute, vol. 11(1), pages 149-149, June.
    10. Rajeev Goel, 2011. "Persistence of cigarette advertising across media and smoking rates," Applied Economics Letters, Taylor & Francis Journals, vol. 18(7), pages 611-619.
    11. Benedict G. C. Dellaert & Suzanne B. Shu & Theo A. Arentze & Tom Baker & Kristin Diehl & Bas Donkers & Nathanael J. Fast & Gerald Häubl & Heidi Johnson & Uma R. Karmarkar & Harmen Oppewal & Bernd H. S, 2020. "Consumer decisions with artificially intelligent voice assistants," Marketing Letters, Springer, vol. 31(4), pages 335-347, December.
    12. Axel Berger & Tobias Schlager & David E. Sprott & Andreas Herrmann, 2018. "Gamified interactions: whether, when, and how games facilitate self–brand connections," Journal of the Academy of Marketing Science, Springer, vol. 46(4), pages 652-673, July.
    13. Nadine Lindstädt & Oliver Budzinski, 2011. "Newspaper vs. Online Advertising – Is There a Niche for Newspapers in Modern Advertising Markets?," Working Papers 113/11, University of Southern Denmark, Department of Sociology, Environmental and Business Economics.
    14. Schunk, Daniel & Wagner, Valentin, 2021. "What determines the willingness to sanction violations of newly introduced social norms: Personality traits or economic preferences? evidence from the COVID-19 crisis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    15. Zhang, Yaqiong & Wang, Shifu, 2023. "The influence of anthropomorphic appearance of artificial intelligence products on consumer behavior and brand evaluation under different product types," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    16. Amedeo Piolatto, 2015. "Online booking and information: competition and welfare consequences of review aggregators," Working Papers 2015/11, Institut d'Economia de Barcelona (IEB).
    17. Velasco, Franklin & Yang, Zhiyong & Janakiraman, Narayanan, 2021. "A meta-analytic investigation of consumer response to anthropomorphic appeals: The roles of product type and uncertainty avoidance," Journal of Business Research, Elsevier, vol. 131(C), pages 735-746.
    18. Lane Peterson Fronczek & Martin Mende & Maura L. Scott & Gergana Y. Nenkov & Anders Gustafsson, 2023. "Friend or foe? Can anthropomorphizing self-tracking devices backfire on marketers and consumers?," Journal of the Academy of Marketing Science, Springer, vol. 51(5), pages 1075-1097, September.
    19. Susan Athey & Emilio Calvano & Joshua S. Gans, 2018. "The Impact of Consumer Multi-homing on Advertising Markets and Media Competition," Management Science, INFORMS, vol. 64(4), pages 1574-1590, April.
    20. Baskentli, Sara & Hadi, Rhonda & Lee, Leonard, 2023. "How culture shapes consumer responses to anthropomorphic products," International Journal of Research in Marketing, Elsevier, vol. 40(3), pages 495-512.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:teinso:v:63:y:2020:i:c:s0160791x20300476. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.