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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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“Past studies have applied interpersonal trust to human technology relationships (Calhoun et al., 2019), especially when the technology has human-like characteristics (Gillath et al., 2021).”
BackgroundInfluentialResponsible Artificial Intelligence Governance: A Review and Research Framework
Papagiannidis, E., Mikalef, P., & Conboy, K. (2025) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2024.101885 · Cited by 565
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“Gillath et al. (2021) showed the positive influence of individual trust on AI adoption, consistent with the argument of Seeber et al. (2020), also showing that AI adoption disseminates through peer stimulation.”
ResultAttitudes towards AI: measurement and associations with personality
Stein, J.-P., Messingschlager, T., Gnambs, T., Hutmacher, F., & Appel, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-53335-2 · Cited by 309
“Based on this definition, it comes as no surprise that extroverted individuals reported fewer concerns about autonomous technologies in previous studies 29,30 , 37 .”
BackgroundChi, O. H., Jia, S., Li, Y., & Gürsoy, D. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106700 · Cited by 320
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Benvenuti, M., Cangelosi, A., Weinberger, A., Mazzoni, E., Benassi, M., Barbaresi, M., & Orsoni, M. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107903 · Cited by 223
“Artificial Intelligence systems will continue to have a tremendous impact on how we address major challenges, as well as how we live our daily lives and learn, changing our behavior (Gillath et al., 2021).”
BackgroundZhang, L., Pentina, I., & Fan, Y. (2021) · Journal of Services Marketing · doi:10.1108/jsm-05-2020-0162 · Cited by 232
Huang, S., Lai, X., Ke, L., Li, Y., Wang, H., Zhao, X., Dai, X., & Wang, Y. (2024) · Psychology Research and Behavior Management · doi:10.2147/prbm.s440889 · Cited by 196
Hopko, S. K., Wang, J., & Mehta, R. K. (2022) · Frontiers in Robotics and AI · doi:10.3389/frobt.2022.799522 · Cited by 194
“Within the HRC domain, trust and anxiety are often shown to have inverse correlations (Gillath et al., 2021), (Miller et al., 2021).”
BackgroundPentina, I., Xie, T., Hancock, T. D., & Bailey, A. A. (2023) · Psychology and Marketing · doi:10.1002/mar.21853 · Cited by 214
Sindermann, C., Yang, H., Elhai, J. D., Yang, S., Quan, L., Li, M., & Montag, C. (2022) · Discover Psychology · doi:10.1007/s44202-022-00020-y · Cited by 175
“…attitudes towards AI but also relations between personality and attitudes towards AI in the long run are influenced by other variables such as previous experience and familiarity with AI [31], performance, collaboration and communication, and security and privacy protection of the AI product [62].”
BackgroundResultInfluentialUser trust in artificial intelligence: A comprehensive conceptual framework
Yang, R., & Wibowo, S. (2022) · Electronic Markets · doi:10.1007/s12525-022-00592-6 · Cited by 170
“…risk as an antecedent of user trust in AI, some studies have reported a reversed relationship between these two constructs, specifically that the attenuated perceived risk is one of the outcomes of building user trust (Bedué & Fritzsche, 2021; Gillath et al., 2021; Mou et al., 2017; Sutrop, 2019).”
BackgroundResultInfluentialLukyanenko, R., Maass, W., & Storey, V. C. (2022) · Electronic Markets · doi:10.1007/s12525-022-00605-4 · Cited by 171
Jiang, Y., Yang, X., & Zheng, T. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107485 · Cited by 189
Li, Y., Wu, B., Huang, Y., & Luan, S. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1382693 · Cited by 218
“AI typically refers to the simulation of human intelligence by computers (Gillath et al., 2021).”
BackgroundAl-Abdullatif, A. M. (2024) · Education Sciences · doi:10.3390/educsci14111209 · Cited by 169
The risks of using ChatGPT to obtain common safety-related information and advice
Oviedo-Trespalacios, O., Peden, A. E., Cole-Hunter, T., Costantini, A., Haghani, M., Rod, J. E., Kelly, S., Torkamaan, H., Tariq, A., David Albert Newton, J., et al. (2023) · Safety Science · doi:10.1016/j.ssci.2023.106244 · Cited by 148
Rashid, A. B., Kausik, A. K., Al Hassan Sunny, A., & Bappy, M. H. (2023) · International Journal of Intelligent Systems · doi:10.1155/2023/8676366 · Cited by 143
Dual humanness and trust in conversational AI: A person-centered approach
Hu, P., Lu, Y., & Gong, Y. Y. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106727 · Cited by 143
Artificial intelligence in marketing: A meta‐analytic review
Mehta, P., Jebarajakirthy, C., Maseeh, H. I., Anubha, A., Saha, R., & Dhanda, K. (2022) · Psychology and Marketing · doi:10.1002/mar.21716 · Cited by 138
Human likeness and attachment effect on the perceived interactivity of AI speakers
Kim, J., Kang, S., & Bae, J. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.02.047 · Cited by 147
Guan, L., Zhang, Y., & Gu, M. M. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100341 · Cited by 186
Riedl, R. (2022) · Electronic Markets · doi:10.1007/s12525-022-00594-4 · Cited by 159
Investigating the moderating role of AI-enabled services on flow and awe experience
Kautish, P., & Khare, A. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102519 · Cited by 128
Xie, Z., Yu, Y., Zhang, J., & Chen, M. (2022) · Psychology and Marketing · doi:10.1002/mar.21706 · Cited by 125
A Situation Awareness Perspective on Human-AI Interaction: Tensions and Opportunities
Jiang, J., Karran, A. J., Coursaris, C. K., Léger, P., & Beringer, J. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2093863 · Cited by 140
Knoth, N., Mirsch, M., Laupichler, M. C., Pinski, M., Buchholtz, N. F., Bata, K., & Schultz, B. (2024) · Computers and Education Open · doi:10.1016/j.caeo.2024.100177 · Cited by 164
“…about the competencies and skills that serve as antecedents of AI literacy, i.e., what role does the development of basic digital literacy, data literacy, or programming skills play in the different types of AI literacies and competence dimensions of AI literacy proposed in this work [61,175]?”
The role of institutional and self in the formation of trust in artificial intelligence technologies
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Gölgeci̇, İ., Ritala, P., Arslan, A., McKenna, B., & Ali, I. (2024) · Human Resource Management Review · doi:10.1016/j.hrmr.2024.101075 · Cited by 193
Choung, H., David, P., & Ross, A. A. (2022) · AI & Society · doi:10.1007/s00146-022-01473-4 · Cited by 142
“Past studies have extended the concept of interpersonal trust to human-technology relationships (Calhoun et al. 2019), especially to technology with human-like characteristics (Gillath et al. 2021).”
BackgroundDigital Therapeutic Alliance With Fully Automated Mental Health Smartphone Apps: A Narrative Review
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“In recent years, researchers also found that attachment style can be applied in the context of artificial intelligence (AI) and information technology (IT) (100, 101).”
BackgroundExploring the influence of ChatGPT on tourism behavior using the technology acceptance model
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A Conceptual Model of Trust, Perceived Risk, and Reliance on AI Decision Aids
Solberg, E., Kaarstad, M., Eitrheim, M. H. R., Bisio, R., Reegård, K., & Bloch, M. (2022) · Group & Organization Management · doi:10.1177/10596011221081238 · Cited by 102
“Alternatively, it has been conducted using vignette studies where short descriptions about the AI decision aid are presented to respondents within an online survey to elicit their judgments and perceptions (e.g., Aoki, 2021; Gillath et al., 2021; H¨oddinghaus et al., 2021).”
BackgroundMethodInfluentialPredicting continuance intention to fintech chatbot
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Sánchez‐Prieto, J. C., Cruz-Benito, J., Therón, R., & Peñalvo, F. J. G. (2020) · International Journal of Interactive Multimedia and Artificial Intelligence · doi:10.9781/ijimai.2020.11.009 · Cited by 106
“One of the main problems when dealing with the implementation of the AI-based systems is the lack of user confidence in both the handling of the user’s personal information and the resolution of complex problems [47].”
BackgroundTrust in Human-AI Interaction: Scoping Out Models, Measures, and Methods
Ueno, T., Sawa, Y., Kim, Y., Urakami, J., Oura, H., & Seaborn, K. (2022) · Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491101.3519772 · Cited by 91
“The AI capabilities are to make predictions, recommendations, or decisions influencing real or virtual environments, through learning, reasoning and self-correcting [15, 57].”
BackgroundAttitudes and perspectives towards the preferences for artificial intelligence in psychotherapy
Aktan, M. E., Turhan, Z., & Dolu, İ. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107273 · Cited by 111
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“…power (Agnihotri and Bhattacharya 2024; Gillath et al. 2021; Li and Bitterly 2024), competence-related variables such as personal AI familiarity, technical self-efficacy, and perceived mastery demonstrate robust positive effects (Chowdhury et al. 2022; Gillath et al. 2021; Montag et al. 2023).”
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“This often results in failures in human-AI interactions, which not only impair the user ’ s experience but also undermine their trust in both AI chatbots and the associated brands (Gillath et al. 2020).”
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“This has turned out to be the major impediment in developing and retaining trust in AI technology (Gillath et al. 2021).”
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“Cognitive trust refers to one’s confidence in the trustee and their ability based on existing knowledge about whether others will fulfill their responsibilities (Gillath et al., 2021; Johnson & Grayson, 2005).”
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“Trust in technology refers to people ’ s readiness to embrace the potential risks associated with AI to achieve superior outcomes (Gillath et al. 2021).”
BackgroundArtificial intelligence and moral dilemmas: Perception of ethical decision-making in AI
Zhang, Z., Chen, Z., & Xu, L. (2022) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2022.104327 · Cited by 81
Tal, A. S., Kuflik, T., & Kliger, D. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2095705 · Cited by 73
“…(2020) who argued that a higher education level and higher income level are positively associated with fairness perceptions and with Araujo et al. (2020), Gillath et al. (2021), and Troshani et al. (2021) who maintained that older people are less likely to trust AI systems and perceive it as fair.”
BackgroundWhat makes you attached to social companion AI? A two-stage exploratory mixed-method study
Hu, D., Lan, Y., Yan, H., & Chen, C. W. (2025) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2025.102890 · Cited by 83
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What kind of trust does AI deserve, if any?
Alvarado, R. (2023) · AI and Ethics · doi:10.1007/s43681-022-00224-x · Cited by 60
Yang, C., & Hu, J. (2021) · Journal of Brand Management · doi:10.1057/s41262-021-00261-7 · Cited by 67
“First, it broadens our understanding of human-AI interactions (Desideri et al. 2019; Fernandes and Oliveira 2021; Gillath et al. 2021; Kashive et al. 2020; Luo et al. 2019) by examining whether and when brand meaning congruence drives preference for or resistance to AI-enabled services and…”
BackgroundShao, Z., Zhang, J., Zhang, L., & Benitez, J. (2024) · European Journal of Information Systems · doi:10.1080/0960085x.2024.2363322 · Cited by 60
“Particularly, the growing research has begun to focus on trust in AI-based voice assistants (Bawack et al., 2021; Fernandes & Oliveira, 2021), and emphasises that trust is the premise of users’ leverage of benefits offered by artificial intelligence (Gillath et al., 2021).”
Using Attachment Theory to Conceptualize and Measure the Experiences in Human-AI Relationships
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“Many studies have provided insights into human-AI trust (e.g., Gillath et al., 2021) and the emotional and affective functions of AI (e.g., Astell & Clayton, 2024).”
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“Analyzing how humans build trust toward each other would also help to fi nd ways for people to trust AI (Gillath et al., 2021).”
BackgroundExploring Designer Trust in Artificial Intelligence-Generated Content: TAM/TPB Model Study
Wang, S.-F., & Chen, C.-C. (2024) · Applied Sciences · doi:10.3390/app14166902 · Cited by 52
“(Interviewee 15, female).”
Regulating for trust: Can law establish trust in artificial intelligence?
Tamò‐Larrieux, A., Guitton, C., Mayer, S., & Lutz, C. (2023) · Regulation & Governance · doi:10.1111/rego.12568 · Cited by 59
“Speci fi cally, in relation to AI (rather than automation more generally), the directionality is the opposite, with younger people trusting such technology more strongly (Gillath et al., 2021).”
BackgroundChoung, H., David, P., & Ling, T.-W. (2024) · Technology in Society · doi:10.1016/j.techsoc.2024.102721 · Cited by 61
Mutuality in AI-enabled new public service solutions
Koskimies, E., & Kinder, T. (2022) · Public Management Review · doi:10.1080/14719037.2022.2078501 · Cited by 54
“Processes include learning, reasoning and self-correction (Gillath et al. 2021).”
Qin, H., Zhu, Y., Jiang, Y., Luo, S., & Huang, C. (2024) · Technology in Society · doi:10.1016/j.techsoc.2024.102726 · Cited by 55
Artificial Intelligence and the Psychology of Human Connection
Boyd, R. L., & Markowitz, D. M. (2026) · Perspectives on Psychological Science · doi:10.1177/17456916251404394 · Cited by 78
“Indeed, we are beginning to see studies that take the relationship between AI and attachment theory seriously (Gillath et al., 2021; Xie & Pentina, 2022), with evidence suggesting that higher attachment anxiety is typically associated with lower trust in AI.”
Li, J., Zhou, Y., Yao, J., & Liu, X. (2021) · Scientific Reports · doi:10.1038/s41598-021-92904-7 · Cited by 59
Work Characteristics Needed by Middle Managers When Leading AI-Integrated Service Teams
Koponen, J. P., Julkunen, S., Laajalahti, A., Turunen, M., & Spitzberg, B. H. (2023) · Journal of Service Research · doi:10.1177/10946705231220462 · Cited by 71
Huynh, M.-T., & Aichner, T. (2025) · AI & Society · doi:10.1007/s00146-025-02378-8 · Cited by 69
Factors Affecting Pedestrians’ Trust in Automated Vehicles: Literature Review and Theoretical Model
Zhou, S., Sun, X. S., Liu, B., & Burnett, G. (2021) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2021.3112956 · Cited by 47
Role of interaction quality and trust in use of AI-based voice-assistant systems
Lee, O.-K. D., Ayyagari, R., Nasirian, F., & Ahmadian, M. (2021) · Journal of Systems and Information Technology · doi:10.1108/jsit-07-2020-0132 · Cited by 44
Cao, S., Liu, A., & Huang, C. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3637318 · Cited by 63
“This finding is inconsistent with prior work that found being younger is positively correlated with trust in AI agents [31], which is highly correlated with reliance and adoption of AI advice [8, 95].”
MethodResultWang, G., Obrenovic, B., Gu, X., & Godinić, D. (2025) · Current Psychology · doi:10.1007/s12144-025-07357-2 · Cited by 52
“To reduce fears, ensuring the trustworthiness of AI is crucial because it is grounded in understanding and providing insight into psychological incentives for inclusion (Gillath et al., 2021; Thiebes et al., 2020 ).”
Rawool, V., Foroudi, P., & Palazzo, M. (2024) · Electronic Commerce Research · doi:10.1007/s10660-024-09850-5 · Cited by 44
“According to Gillath et al. [18], individuals do not perceive AI usage using human to non-human parameters, and there are many underlying factors at play, in particular, an individual’s attachment style (high attachment anxiety, high attachment avoidance, securely attached).”
Examining Attachment to Robots: Benefits, Challenges, and Alternatives
Law, T., Chita-Tegmark, M., Rabb, N., & Scheutz, M. J. (2022) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3526105 · Cited by 41
Hadlington, L., Binder, J. F., Gardner, S. E., Karanika‐Murray, M., & Knight, S. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1164810 · Cited by 39
“A summative working definition for more general purposes is provided, for example, by Gillath et al. (2021): “Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.”
BackgroundMethodInfluentialWen, F., Li, Y., Zhou, Y., An, X., & Zou, Q. (2024) · Journal of Educational Technology Development and Exchange · doi:10.18785/jetde.1701.07 · Cited by 39
“For example, increasing students’ knowledge of and trust in AI can help them reduce pressure and improve the efficiency of using AI tools (Gillath et al., 2021).”
BackgroundHow Do Employees Form Initial Trust in Artificial Intelligence: Hard to Explain But Leaders Help
Xu, Y., Huang, Y., Wang, J., & Zhou, D. (2022) · Asia Pacific Journal of Human Resources · doi:10.1111/1744-7941.12402 · Cited by 56
Huang, K., & Ball, C. (2024) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.1146 · Cited by 47
“Regarding outcome variables, based on previous studies, we assessed participant trust in AI in six scenarios across three key sectors (Gillath et al., 2021): Transportation, Healthcare, and Social Relationships.”
Trust and AI weight: human-AI collaboration in organizational management decision-making
Wen, Y., Wang, J., & Chen, X. (2025) · Frontiers in Organizational Psychology · doi:10.3389/forgp.2025.1419403 · Cited by 57
The effectiveness of explainable AI on human factors in trust models
Cheung, J. C. T., & Ho, S. S. (2025) · Scientific Reports · doi:10.1038/s41598-025-04189-9 · Cited by 36
“Not only is trust predictive of overcoming resistance to AI 38 , but it also enhances the quality of human-AI interaction 39 .”
Huo, W., Zhang, Z., Qu, J., Yan, J., Yan, S., Yan, J., & Shi, B. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2176985 · Cited by 41
“Hence, the success of medical AI, at least in part, is underpinned by patients ’ trust and acceptance (Gillath et al., 2021; Lin et al., 2020).”
BackgroundRiedel, A. S., Mulcahy, R. F., & Northey, G. (2022) · International Journal of Bank Marketing · doi:10.1108/ijbm-09-2021-0438 · Cited by 37
Machine Replacement: A Mind-Role Fit Perspective
Yam, K. C., Eng, A., & Gray, K. J. (2024) · Annual Review of Organizational Psychology and Organizational Behavior · doi:10.1146/annurev-orgpsych-030223-044504 · Cited by 34
Mentalizing Without a Mind: Psychotherapeutic Potential of Generative AI
Yirmiya, K., & Fonagy, P. (2025) · Journal of Medical Internet Research · doi:10.2196/79156 · Cited by 46
“Interestingly, this latter study demonstrated that increasing attachment security through attachment-related primes enhanced AI trust [69], aligning with broader evidence linking attachment anxiety to epistemic mistrust [70,71].”
Miedema, E., Waschull, S., & Emmanouilidis, C. (2025) · Computers in Industry · doi:10.1016/j.compind.2025.104409 · Cited by 41
Vianello, A., Laine, S., & Tuomi, E. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2095478 · Cited by 39
“…relationships (Barredo Arrieta et al., 2020; Chou et al., 2022) — a construct referred to in the literature as causability (Holzinger et al., 2019) — and more generally, what are the factors involved in the establishment of trust between humans and AI (Gillath et al., 2021; Jacovi et al., 2021).”
BackgroundHaesevoets, T., Verschuere, B., & Roets, A. (2025) · Government Information Quarterly · doi:10.1016/j.giq.2025.102029 · Cited by 45
Trusting emotional support from generative artificial intelligence: a conceptual review
Volpato, R., DeBruine, L. M., & Stumpf, S. (2025) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2025.100195 · Cited by 52
“Gillath et al. (Gillath et al., 2021) conducted three studies on the relationship between attachment style and trust in AI across six potential scenarios, including relationship support, and found that attachment anxiety predicts weaker feelings of trust.”
Kasturiratna, K. T. A. S., & Hartanto, A. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100912 · Cited by 45
Kondapaka, P., Khanra, S., Malik, A., Kagzi, M., & Hemachandran, K. (2023) · Journal of Service Theory and Practice · doi:10.1108/jstp-06-2022-0134 · Cited by 30
Jang, C. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2246590 · Cited by 36
“Speci fi cally, trust in AI is improved through the provision of personal information security protocols and explanations of why speci fi c information is provided (Bedué and Fritzsche 2022; Dikmen and Burns 2022; Gillath et al. 2021; Shin 2021).”
Enhancing user experience and trust in advanced LLM-based conversational agents
Xu, Y., Gao, W., Wang, Y., Shan, X., & Lin, Y. (2024) · Computing and artificial intelligence. · doi:10.59400/cai.v2i2.1467 · Cited by 30
“Reliability involves consistent performance, accuracy, and availability [32,33].”
BackgroundTrust and acceptance of AI caregiving robots: The role of ethics and self-efficacy
Lin, C. S., Kuo, Y.-F., & Wang, T.-Y. (2024) · Comput. Hum. Behav. Artif. Humans · doi:10.1016/j.chbah.2024.100115 · Cited by 37
He, X., Xi, Z., & Ding, H. (2023) · Journal of Medical Internet Research · doi:10.2196/50342 · Cited by 29
A longitudinal model of continued acceptance of conversational artificial intelligence
Ng, Y.-L. (2024) · Information Technology and People · doi:10.1108/itp-06-2023-0577 · Cited by 28
Unveiling the Impact of AI Technological Anxiety on the Marketers' Intention to Adopt Generative AI
Meng, T., Li, X., Alam, F., Yan, Y., & Chau, T. (2025) · Journal of Global Information Management · doi:10.4018/jgim.372177 · Cited by 33
“In this context, it has also expanded the scope of research on AI trust mechanisms (Fahnenstich et al., 2024; Gillath et al., 2021; Vanneste & Puranam, 2024).”
Wang, Y., Liu, W., & Yao, M. Z. (2024) · New Media & Society · doi:10.1177/14614448231223517 · Cited by 34
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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