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Attachment and trust in artificial intelligence
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“Attachment also shapes trust in AI agents: experimentally increasing security cues elevates trust in AI, whereas activating anxiety cues reduces it (Gillath et al. 2021).”
From Not a Silver Bullet for Loneliness: How Attachment and Age Shape Intimacy with AI Companions (2026) · cites this paper as Gillath et al. 2021
In the citing paper
“Trust acts as a validation mechanism [58].”
From Modeling teachers’ acceptance of generative artificial intelligence use in higher education: the role of AI literacy, intelligent TPACK, and perceived trust (2024) · cites this paper as [58]
In the citing paper
“Many studies have demonstrated that when educators trust AI-based tools, they are more likely to recognize and utilize these tools' capabilities in enhancing teaching and learning outcomes [5,58].”
From Modeling teachers’ acceptance of generative artificial intelligence use in higher education: the role of AI literacy, intelligent TPACK, and perceived trust (2024) · cites this paper as [58]
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“Noting that lack of trust is one of the main obstacles standing in the way of taking full advantage of AI, Gillath et al. [7] focused on increasing trust in AI through emotional means.”
BackgroundUsing Video Introduction to Mitigate Affect‐Based Initial Trust in Automation
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“Furthermore, individual differences, such as attachment security, shape receptiveness to COs, indicating that trust outcomes are not uniform (Gillath et al., 2021).”
Wang, H., Lai, X., Huang, S., Dai, X., Zhao, X., & Wang, Y. (2026) · Behavioral Sciences · doi:10.3390/bs16010072 · Cited by 1
“Lack of trust is one of the main barriers preventing people from taking full advantage of the benefits offered by AI (Gillath et al., 2021).”
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“Prior studies also highlight fluctuating trust levels across the adoption process (Davenport, 2019; Gillath et al., 2021; Glikson & Woolley, 2020).”
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“Literature often distinguishes between cognitive trust and trust based on affect [11], [26].”
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“These findings extend previous research from non-medical con - texts [29, 30] and from our earlier vignette-based study on trust in physicians [11] by demonstrating that attachment orientations not only shape how individuals perceive interpersonal closeness but also influence which types of digital…”
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“These problems and citizens’ negative responses highlight the necessity of implementing justice initiatives in public digital service platforms (Choung et al., 2023; Gillath et al., 2021).”
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“Building on this, Lockey et al. [2] provided a comprehensive review of AI trust, highlighting both vulnerabilities and future research directions, while Gillath et al. [3] examined the psychological underpinnings of human attachment to AI, showing how relational dynamics influence trust formation.”
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“Even assuming we care solely about economic value, profits, while presumably correlated with F1 score-type performance metrics, turn also on variables like user adoption and trust [28, 9, 15].”
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“Previous research found that enhancing attachment anxiety reduced trust while enhancing attachment security increased trust in artificial intelligence, even when ruling out the role of basic personalities, such as neuroticism and self-esteem (Gillath et al., 2021).”
BackgroundMetoda pomiaru poziomu zaufania do technologii
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“Bien que la démonstration empirique de ces effets soit jusqu’à présent partagée (Gillath et al., 2021; Hmoud et Várallyai, 2020), la récence de la recherche portant sur le sujet amène à tout de même inclure cette variable dans la présente étude.”
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Jha, R. S., Mitra, D., & Foropon, C. R. H. (2026) · Information Systems Frontiers · doi:10.1007/s10796-026-10748-w · Cited by 1
Nguyen, M., & Leszczyc, P. T. L. P. (2026) · Australasian Marketing Journal (AMJ) · doi:10.1177/14413582261442608
Metadata
- Authors
- Gillath, O., Ai, T., Branicky, M. S., Keshmiri, S., Davison, R. B., & Spaulding, R.
- Affiliations
- University of Kansas (US)
- Colorado State University (US)
- Corresponding author
- Gillath, Omri
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 115
- Pages
- 106607
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W3093987005
- Cited by
- 448
- References
- 83
- Citations by year
- 2026: 113 · 2025: 123 · 2024: 92 · 2023: 41 · 2022: 49 · 2021: 27
- FWCI
- 32.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Psychology › Social Psychology › Attachment and Relationship Dynamics
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Keywords
- trust in AI, attachment styles, attachment security, attachment anxiety, affective trust, priming, positive affect
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