IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v77y2024ics0160791x24000812.html
   My bibliography  Save this article

Trust in artificial intelligence, trust in engineers, and news media: Factors shaping public perceptions of autonomous drones through UTAUT2

Author

Listed:
  • Ho, Shirley S.
  • Cheung, Justin C.

Abstract

Traditional trust in artificial intelligence (AI) scholarship has assumed trust as an attitude placed exclusively in the AI system. We offer a more articulated view of trust in AI, extending the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model by integrating news media attention, trust in AI system, trust in AI engineers, and attitude to examine factors predicting public's intention to use autonomous passenger drones. Based on an online survey of adult Singaporeans (N = 1002), results from hierarchical OLS regression analyses demonstrated the direct effects of news media attention, trust in AI system, and attitude, alongside several UTAUT2 constructs, on use intention. Results of subsequent mediation analyses using structural equation modelling between trust in AI system, trust in AI engineers and use intention through attitude were consistent with a partial and full mediation effect, respectively. Notably, both trust constructs were influenced by news media attention in comparable magnitudes. In this sense, trust placed in AI system can be seen separately from that placed in engineers responsible for AI development. Furthermore, we found support for including attitude in the UTAUT2 main model for emerging technologies in which information and practice remain largely inaccessible to the public. Theoretical and practical implications are discussed.

Suggested Citation

  • Ho, Shirley S. & Cheung, Justin C., 2024. "Trust in artificial intelligence, trust in engineers, and news media: Factors shaping public perceptions of autonomous drones through UTAUT2," Technology in Society, Elsevier, vol. 77(C).
    • Handle: RePEc:eee:teinso:v:77:y:2024:i:c:s0160791x24000812
    DOI: 10.1016/j.techsoc.2024.102533
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X24000812
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2024.102533?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. Merhi, Mohamed & Hone, Kate & Tarhini, Ali, 2019. "A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust," Technology in Society, Elsevier, vol. 59(C).
    2. Balakrishnan, Vimala & Shuib, Nor Liyana Mohd, 2021. "Drivers and inhibitors for digital payment adoption using the Cashless Society Readiness-Adoption model in Malaysia," Technology in Society, Elsevier, vol. 65(C).
    3. Sharma, Subhash & Mukherjee, Soumen & Kumar, Ajith & Dillon, William R., 2005. "A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models," Journal of Business Research, Elsevier, vol. 58(7), pages 935-943, July.
    4. Kenesei, Zsófia & Ásványi, Katalin & Kökény, László & Jászberényi, Melinda & Miskolczi, Márk & Gyulavári, Tamás & Syahrivar, Jhanghiz, 2022. "Trust and perceived risk: How different manifestations affect the adoption of autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 379-393.
    5. Arun Rai, 2020. "Explainable AI: from black box to glass box," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 137-141, January.
    6. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    7. Wu, Min & Wang, Nanxi & Yuen, Kum Fai, 2023. "Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    8. Tamilmani, Kuttimani & Rana, Nripendra P. & Prakasam, Naveena & Dwivedi, Yogesh K., 2019. "The battle of Brain vs. Heart: A literature review and meta-analysis of “hedonic motivation” use in UTAUT2," International Journal of Information Management, Elsevier, vol. 46(C), pages 222-235.
    9. Kum Fai Yuen & Grace Chua & Xueqin Wang & Fei Ma & Kevin X. Li, 2020. "Understanding Public Acceptance of Autonomous Vehicles Using the Theory of Planned Behaviour," IJERPH, MDPI, vol. 17(12), pages 1-19, June.
    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. Arpaci, Ibrahim & Karatas, Kasim & Kusci, Ismail & Al-Emran, Mostafa, 2022. "Understanding the social sustainability of the Metaverse by integrating UTAUT2 and big five personality traits: A hybrid SEM-ANN approach," Technology in Society, Elsevier, vol. 71(C).
    2. de Blanes Sebastián, María García & Antonovica, Arta & Sarmiento Guede, José Ramón, 2023. "What are the leading factors for using Spanish peer-to-peer mobile payment platform Bizum? The applied analysis of the UTAUT2 model," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    3. Elena Higueras-Castillo & Vedant Singh & Virender Singh & Francisco Liébana-Cabanillas, 2024. "Factors affecting adoption intention of electric vehicle: a cross-cultural study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 29293-29329, November.
    4. Giacomo Migliore & Ralf Wagner & Felipe Schneider Cechella & Francisco Liébana-Cabanillas, 2022. "Antecedents to the Adoption of Mobile Payment in China and Italy: an Integration of UTAUT2 and Innovation Resistance Theory," Information Systems Frontiers, Springer, vol. 24(6), pages 2099-2122, December.
    5. Khan, Ikram Ullah, 2022. "How does culture influence digital banking? A comparative study based on the unified model," Technology in Society, Elsevier, vol. 68(C).
    6. Rongbin Yang & Santoso Wibowo, 2022. "User trust in artificial intelligence: A comprehensive conceptual framework," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2053-2077, December.
    7. Sabakun Naher Shetu & Md. Muzahidul Islam & Sadia Islam Promi, 2022. "An Empirical Investigation of the Continued Usage Intention of Digital Wallets: The Moderating Role of Perceived Technological Innovativeness," Future Business Journal, Springer, vol. 8(1), pages 1-17, December.
    8. Tzu-Hsin Chu & Cheng-Min Chao & Hsieh-Hsi Liu & Der-Fa Chen, 2022. "Developing an Extended Theory of UTAUT 2 Model to Explore Factors Influencing Taiwanese Consumer Adoption of Intelligent Elevators," SAGE Open, , vol. 12(4), pages 21582440221, December.
    9. Chen, Changdong, 2024. "How consumers respond to service failures caused by algorithmic mistakes: The role of algorithmic interpretability," Journal of Business Research, Elsevier, vol. 176(C).
    10. Leah Warfield Smith & Randall Lee Rose & Alex R. Zablah & Heath McCullough & Mohammad “Mike” Saljoughian, 2023. "Examining post-purchase consumer responses to product automation," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 530-550, May.
    11. Sumitkumar, Rathor & Al-Sumaiti, Ameena Saad, 2024. "Shared autonomous electric vehicle: Towards social economy of energy and mobility from power-transportation nexus perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    12. Andrea Lučić, 2020. "Measuring Sustainable Marketing Orientation—Scale Development Process," Sustainability, MDPI, vol. 12(5), pages 1-22, February.
    13. Sami S. Binyamin & Md. Rakibul Hoque, 2020. "Understanding the Drivers of Wearable Health Monitoring Technology: An Extension of the Unified Theory of Acceptance and Use of Technology," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    14. 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).
    15. Chen, Feiqiong & Liu, Huiqian & Ge, Yuhao, 2021. "How does integration affect industrial innovation through networks in technology-sourcing overseas M&A? A comparison between China and the US," Journal of Business Research, Elsevier, vol. 122(C), pages 281-292.
    16. Ekaterina Jussupow & Kai Spohrer & Armin Heinzl & Joshua Gawlitza, 2021. "Augmenting Medical Diagnosis Decisions? An Investigation into Physicians’ Decision-Making Process with Artificial Intelligence," Information Systems Research, INFORMS, vol. 32(3), pages 713-735, September.
    17. Aysun Ata Aktürk & Hasibe Özlen Demircan, 2018. "Development of Preschool Children Sibling Rivalry Scale (PSRS)," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(1), pages 117-136, February.
    18. Muhammad Ali Raza & Muhammad Imran & Joanna Rosak-Szyrocka & László Vasa & Noor Ul Hadi, 2023. "Organizational Change and Workplace Incivility: Mediated by Stress, Moderated by Emotional Exhaustion," IJERPH, MDPI, vol. 20(3), pages 1-16, January.
    19. Yang Liao & Hanying Guo & Hongguo Shi, 2024. "Research on the Public’s Intention to Use Shared Autonomous Vehicles: Based on Social Media Data Mining and Questionnaire Survey," Sustainability, MDPI, vol. 16(11), pages 1-25, May.
    20. Vieira, Valter Afonso & Rafael, Diego Nogueira & Agnihotri, Raj, 2022. "Augmented reality generalizations: A meta-analytical review on consumer-related outcomes and the mediating role of hedonic and utilitarian values," Journal of Business Research, Elsevier, vol. 151(C), pages 170-184.

    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:77:y:2024:i:c:s0160791x24000812. 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.