Trust in artificial intelligence, trust in engineers, and news media: factors shaping public perceptions of autonomous drones through UTAUT2
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 atte...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/179372 |
| _version_ | 1826117595554643968 |
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| author | Ho, Shirley S. Cheung, Justin Chun-Ting |
| author2 | Wee Kim Wee School of Communication and Information |
| author_facet | Wee Kim Wee School of Communication and Information Ho, Shirley S. Cheung, Justin Chun-Ting |
| author_sort | Ho, Shirley S. |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T04:29:53Z |
| format | Journal Article |
| id | ntu-10356/179372 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:29:53Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1793722024-07-29T01:21:24Z Trust in artificial intelligence, trust in engineers, and news media: factors shaping public perceptions of autonomous drones through UTAUT2 Ho, Shirley S. Cheung, Justin Chun-Ting Wee Kim Wee School of Communication and Information Campus for Research Excellence and Technological Enterprise Social Sciences Trust in AI Trust in AI engineers 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. National Research Foundation (NRF) This research is supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme. 2024-07-29T01:21:24Z 2024-07-29T01:21:24Z 2024 Journal Article Ho, S. S. & Cheung, J. C. (2024). Trust in artificial intelligence, trust in engineers, and news media: factors shaping public perceptions of autonomous drones through UTAUT2. Technology in Society, 77, 102533-. https://dx.doi.org/10.1016/j.techsoc.2024.102533 0160-791X https://hdl.handle.net/10356/179372 10.1016/j.techsoc.2024.102533 2-s2.0-85189854643 77 102533 en CREATE Technology in Society © 2024 Elsevier Ltd. All rights reserved. |
| spellingShingle | Social Sciences Trust in AI Trust in AI engineers Ho, Shirley S. Cheung, Justin Chun-Ting Trust in artificial intelligence, trust in engineers, and news media: factors shaping public perceptions of autonomous drones through UTAUT2 |
| title | Trust in artificial intelligence, trust in engineers, and news media: factors shaping public perceptions of autonomous drones through UTAUT2 |
| title_full | Trust in artificial intelligence, trust in engineers, and news media: factors shaping public perceptions of autonomous drones through UTAUT2 |
| title_fullStr | Trust in artificial intelligence, trust in engineers, and news media: factors shaping public perceptions of autonomous drones through UTAUT2 |
| title_full_unstemmed | Trust in artificial intelligence, trust in engineers, and news media: factors shaping public perceptions of autonomous drones through UTAUT2 |
| title_short | Trust in artificial intelligence, trust in engineers, and news media: factors shaping public perceptions of autonomous drones through UTAUT2 |
| title_sort | trust in artificial intelligence trust in engineers and news media factors shaping public perceptions of autonomous drones through utaut2 |
| topic | Social Sciences Trust in AI Trust in AI engineers |
| url | https://hdl.handle.net/10356/179372 |
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