IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v79y2024ics0160791x24002690.html
   My bibliography  Save this article

Acceptance of AI-powered facial recognition technology in surveillance scenarios: Role of trust, security, and privacy perceptions

Author

Listed:
  • Choung, Hyesun
  • David, Prabu
  • Ling, Tsai-Wei

Abstract

The study examines the roles of various layers of trust, as well as privacy and security concerns, in shaping the acceptance of AI-powered facial recognition technology (FRT) in three surveillance scenarios—public spaces, hospitals, and schools. Based on survey data from 575 U S. participants, we found that the context in which FRT is deployed shapes people's perceptions and acceptance of the technology. People perceived greater safety gains in schools and greater privacy risks in public spaces. Trust in officials, familiarity with FRT, and perceived security benefits positively predicted acceptance, while distrust and perceived privacy risks negatively predicted acceptance. These findings offer insights for stakeholders of FRT, policymakers, and organizations that seek to implement AI-powered surveillance, emphasizing the need to address public trust and privacy concerns.

Suggested Citation

  • Choung, Hyesun & David, Prabu & Ling, Tsai-Wei, 2024. "Acceptance of AI-powered facial recognition technology in surveillance scenarios: Role of trust, security, and privacy perceptions," Technology in Society, Elsevier, vol. 79(C).
    • Handle: RePEc:eee:teinso:v:79:y:2024:i:c:s0160791x24002690
    DOI: 10.1016/j.techsoc.2024.102721
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X24002690
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2024.102721?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. Zhong, Yongping & Oh, Segu & Moon, Hee Cheol, 2021. "Service transformation under industry 4.0: Investigating acceptance of facial recognition payment through an extended technology acceptance model," Technology in Society, Elsevier, vol. 64(C).
    2. David Lyon, 2001. "Surveillance after September 11," Sociological Research Online, , vol. 6(3), pages 116-121, November.
    3. Adi Alsyouf & Abdalwali Lutfi & Nizar Alsubahi & Fahad Nasser Alhazmi & Khalid Al-Mugheed & Rami J. Anshasi & Nora Ibrahim Alharbi & Moteb Albugami, 2023. "The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability," IJERPH, MDPI, vol. 20(2), pages 1-24, January.
    4. Ardabili, Babak Rahimi & Danesh Pazho, Armin & Alinezhad Noghre, Ghazal & Katariya, Vinit & Hull, Gordon & Reid, Shannon & Tabkhi, Hamed, 2024. "Exploring Public's perception of safety and video surveillance technology: A survey approach," Technology in Society, Elsevier, vol. 78(C).
    5. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
    6. Michael Siegrist, 2021. "Trust and Risk Perception: A Critical Review of the Literature," Risk Analysis, John Wiley & Sons, vol. 41(3), pages 480-490, March.
    7. Fontes, Catarina & Hohma, Ellen & Corrigan, Caitlin C. & Lütge, Christoph, 2022. "AI-powered public surveillance systems: why we (might) need them and how we want them," Technology in Society, Elsevier, vol. 71(C).
    8. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    9. Adi Alsyouf & Abdalwali Lutfi & Mohammad Al-Bsheish & Mu’taman Jarrar & Khalid Al-Mugheed & Mohammed Amin Almaiah & Fahad Nasser Alhazmi & Ra’ed Masa’deh & Rami J. Anshasi & Abdallah Ashour, 2022. "Exposure Detection Applications Acceptance: The Case of COVID-19," IJERPH, MDPI, vol. 19(12), pages 1-26, June.
    10. Liu, Aiping & Urquía-Grande, Elena & López-Sánchez, Pilar & Rodríguez-López, Ángel, 2022. "How technology paradoxes and self-efficacy affect the resistance of facial recognition technology in online microfinance platforms: Evidence from China," Technology in Society, Elsevier, vol. 70(C).
    11. Kay L Ritchie & Charlotte Cartledge & Bethany Growns & An Yan & Yuqing Wang & Kun Guo & Robin S S Kramer & Gary Edmond & Kristy A Martire & Mehera San Roque & David White, 2021. "Public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-28, October.
    Full references (including those not matched with items on IDEAS)

    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. Ahmed Ibrahim Alzahrani & T. Ramayah & Nalini Suppiah & Osama Alfarraj & Nasser Alalwan, 2020. "Modeling Blog Usage From a Developing Country Perspective Using Structural Equation Modeling (SEM)," SAGE Open, , vol. 10(3), pages 21582440209, July.
    2. Qin, Li & De-Juan-Vigaray, María D., 2021. "Social commerce: Is interpersonal trust formation similar between U.S.A. and Spain?," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    3. Möhlmann, Mareike, 2021. "Unjustified trust beliefs: Trust conflation on sharing economy platforms," Research Policy, Elsevier, vol. 50(3).
    4. Timm Teubner & Marc T. P. Adam & Florian Hawlitschek, 2020. "Unlocking Online Reputation," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(6), pages 501-513, December.
    5. Nasser Hamidi & Tahmineh Torabi Rad & Alireza Jahany, 2012. "Evaluation Of Factors Influencing Tendency Towards E- Banking In Bank Customers," Far East Journal of Marketing and Management, Far East Research Centre, vol. 2(3), pages 25-42, August.
    6. Aityoussef, Asmaa & Belhcen, Lhacen, 2022. "“A predictive model of building initial trust in sharing economy: MULTI-DIMENSIONAL analysis of facebook users in Morocco”," Technology in Society, Elsevier, vol. 71(C).
    7. Baozhou Lu & Rudy Hirschheim & Andrew Schwarz, 2015. "Examining the antecedent factors of online microsourcing," Information Systems Frontiers, Springer, vol. 17(3), pages 601-617, June.
    8. Rajković, Borislav & Đurić, Ivan & Zarić, Vlade & Glauben, Thomas, 2021. "Gaining trust in the digital age: The potential of social media for increasing the competitiveness of small and medium enterprises," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 13(4).
    9. Malhotra, Neeru & Sahadev, Sunil & Purani, Keyoor, 2017. "Psychological contract violation and customer intention to reuse online retailers: Exploring mediating and moderating mechanisms," Journal of Business Research, Elsevier, vol. 75(C), pages 17-28.
    10. Dan J. Kim & Donald L. Ferrin & H. Raghav Rao, 2009. "Trust and Satisfaction, Two Stepping Stones for Successful E-Commerce Relationships: A Longitudinal Exploration," Information Systems Research, INFORMS, vol. 20(2), pages 237-257, June.
    11. Jiayue Guo & Wenqian Zhang & Tiansheng Xia, 2023. "Impact of Shopping Website Design on Customer Satisfaction and Loyalty: The Mediating Role of Usability and the Moderating Role of Trust," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    12. Mohammed Alharbey & Stefan Van Hemmen, 2021. "Investor Intention in Equity Crowdfunding. Does Trust Matter?," JRFM, MDPI, vol. 14(2), pages 1-20, January.
    13. Sang Soo Kim, 2020. "Purchase Intention in the Online Open Market: Do Concerns for E-Commerce Really Matter?," Sustainability, MDPI, vol. 12(3), pages 1-21, January.
    14. Lian, Jiunn-Woei & Li, Ji, 2021. "The dimensions of trust:An investigation of mobile payment services in Taiwan," Technology in Society, Elsevier, vol. 67(C).
    15. Xuequn Wang & Mina Tajvidi & Xiaolin Lin & Nick Hajli, 2020. "Towards an Ethical and Trustworthy Social Commerce Community for Brand Value Co-creation: A trust-Commitment Perspective," Journal of Business Ethics, Springer, vol. 167(1), pages 137-152, November.
    16. Faridi, Amir Ali & Kavoosi-Kalashami, Mohammad & Bilali, Hamid El, 2020. "Attitude components affecting adoption of soil and water conservation measures by paddy farmers in Rasht County, Northern Iran," Land Use Policy, Elsevier, vol. 99(C).
    17. Kyung Hwa Seo, 2020. "A Study on the Application of Kiosk Service as the Workplace Flexibility: The Determinants of Expanded Technology Adoption and Trust of Quick Service Restaurant Customers," Sustainability, MDPI, vol. 12(21), pages 1-16, October.
    18. Wajeeha Aslam & Annas Hussain & Kashif Farhat & Imtiaz Arif, 2020. "Underlying Factors Influencing Consumers’ Trust and Loyalty in E-commerce," Business Perspectives and Research, , vol. 8(2), pages 186-204, July.
    19. Frank, Darius-Aurel & Chrysochou, Polymeros & Mitkidis, Panagiotis & Otterbring, Tobias & Ariely, Dan, 2024. "Navigating uncertainty: Exploring consumer acceptance of artificial intelligence under self-threats and high-stakes decisions," Technology in Society, Elsevier, vol. 79(C).
    20. Uttara M. Ananthakrishnan & Beibei Li & Michael D. Smith, 2020. "A Tangled Web: Should Online Review Portals Display Fraudulent Reviews?," Information Systems Research, INFORMS, vol. 31(3), pages 950-971, September.

    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:79:y:2024:i:c:s0160791x24002690. 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.