{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T06:51:49Z","timestamp":1785912709121,"version":"3.56.0"},"reference-count":106,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012456","name":"National Social Science Fund of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012456","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012294","name":"National Social Science Fund Youth Project","doi-asserted-by":"publisher","award":["24CTQ001"],"award-info":[{"award-number":["24CTQ001"]}],"id":[{"id":"10.13039\/501100012294","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Telematics and Informatics"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.tele.2026.102434","type":"journal-article","created":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T16:23:23Z","timestamp":1782318203000},"page":"102434","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["When AI lies to me: understanding user recognition, attribution, and response to AI hallucinations in human-AI interaction"],"prefix":"10.1016","volume":"108","author":[{"given":"Shu","family":"Fan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xueqi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bingqian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaobei","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.tele.2026.102434_bb0005","doi-asserted-by":"crossref","first-page":"1","DOI":"10.70112\/ajcst-2024.13.1.4144","article-title":"Unravelling the mysteries of hallucination in large language models: strategies for precision in artificial intelligence language generation","volume":"13","author":"Ahmadi","year":"2024","journal-title":"Asian J. Comput. Sci. Technol."},{"key":"10.1016\/j.tele.2026.102434_bb0015","author":"Andrescov"},{"key":"10.1016\/j.tele.2026.102434_bb0020","doi-asserted-by":"crossref","first-page":"1622292","DOI":"10.3389\/frai.2025.1622292","article-title":"Survey and analysis of hallucinations in large language models: attribution to prompting strategies or model behavior","volume":"8","author":"Anh-Hoang","year":"2025","journal-title":"Front. Artif. Intell."},{"key":"10.1016\/j.tele.2026.102434_bb0025","series-title":"Proceedings of the 4th Annual Symposium on Human-Computer Interaction for Work","first-page":"1","article-title":"Emerging reliance behaviors in human-AI content-grounded data generation: The role of cognitive forcing functions and hallucinations","author":"Ashktorab","year":"2025"},{"issue":"3","key":"10.1016\/j.tele.2026.102434_bb0030","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1177\/146879410100100307","article-title":"Thematic networks: an analytic tool for qualitative research","volume":"1","author":"Attride-Stirling","year":"2001","journal-title":"Qual. Res."},{"key":"10.1016\/j.tele.2026.102434_bb0035","series-title":"Proceedings of the AAAI Conference on Human Computation and Crowdsourcing","first-page":"2","article-title":"Beyond accuracy: the role of mental models in human-AI team performance","volume":"vol. 7","author":"Bansal","year":"2019"},{"issue":"4","key":"10.1016\/j.tele.2026.102434_bb0040","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1177\/10597123231206604","article-title":"Dual process theory for large language models: an overview of using psychology to address hallucination and reliability issues","volume":"32","author":"Bellini-Leite","year":"2024","journal-title":"Adapt. Behav."},{"key":"10.1016\/j.tele.2026.102434_bb0045","series-title":"Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency","first-page":"610","article-title":"On the dangers of stochastic parrots: can language models be too big?","author":"Bender","year":"2021"},{"key":"10.1016\/j.tele.2026.102434_bb0050","series-title":"ECIS 2025 Proceedings","first-page":"12","article-title":"Can you imagine? How perceived humanness influences the negative effect of hallucinations by conversational agents","author":"Bernhard","year":"2025"},{"key":"10.1016\/j.tele.2026.102434_bb0060","series-title":"Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems","first-page":"1","article-title":"Responsibility attribution in human interactions with everyday AI systems","author":"Brailsford","year":"2025"},{"issue":"2","key":"10.1016\/j.tele.2026.102434_bib552","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1191\/1478088706qp063oa","article-title":"Using thematic analysis in psychology","volume":"3","author":"Braun","year":"2006","journal-title":"Qualitative research in psychology"},{"issue":"CSCW1","key":"10.1016\/j.tele.2026.102434_bb0065","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3449287","article-title":"To trust or to think: cognitive forcing functions can reduce overreliance on AI in AI-assisted decision-making","volume":"5","author":"Bu\u00e7inca","year":"2021","journal-title":"Proc. ACM Hum. Comput. Interact."},{"issue":"2","key":"10.1016\/j.tele.2026.102434_bb0070","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1111\/j.1468-2958.1978.tb00603.x","article-title":"A communication model of personal space violations: explication and an initial test","volume":"4","author":"Burgoon","year":"1978","journal-title":"Hum. Commun. Res."},{"issue":"1","key":"10.1016\/j.tele.2026.102434_bb0075","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1080\/03637758809376158","article-title":"Nonverbal expectancy violations: model elaboration and application to immediacy behaviors","volume":"55","author":"Burgoon","year":"1988","journal-title":"Commun. Monogr."},{"key":"10.1016\/j.tele.2026.102434_bb0080","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.ijhcs.2016.02.002","article-title":"Application of expectancy violations theory to communication with and judgments about embodied agents during a decision-making task","volume":"91","author":"Burgoon","year":"2016","journal-title":"Int. J. Hum. Comput. Stud."},{"issue":"CSCW2","key":"10.1016\/j.tele.2026.102434_bb0085","first-page":"1","article-title":"Understanding the role of human intuition on reliance in human-AI decision-making with explanations","volume":"7","author":"Chen","year":"2023","journal-title":"Proc. ACM Hum. Comput. Interact."},{"key":"10.1016\/j.tele.2026.102434_bb0550","doi-asserted-by":"crossref","first-page":"114542","DOI":"10.1016\/j.dss.2025.114542","article-title":"Being responsible or affable: investigating the effects of AI error correction behaviors on user engagement","volume":"198","author":"Zhu","year":"2025","journal-title":"Decis. Support. Syst."},{"key":"10.1016\/j.tele.2026.102434_bb0090","doi-asserted-by":"crossref","unstructured":"Cheng, Q., Dai, Y., Liu, X., Peng, S., 2026. The trust crisis in artificial intelligence: AI hallucinations and human-AI collaboration, Technol. Soc. 86,103286. doi: 10.1016\/j.techsoc.2026.103286.","DOI":"10.1016\/j.techsoc.2026.103286"},{"issue":"4","key":"10.1016\/j.tele.2026.102434_bb0095","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1080\/13683500.2023.2300032","article-title":"Understanding the role and impact of generative artificial intelligence (AI) hallucination within consumers\u2019 tourism decision-making processes","volume":"28","author":"Christensen","year":"2025","journal-title":"Curr. Issue Tour."},{"issue":"3","key":"10.1016\/j.tele.2026.102434_bb0100","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1080\/17439760.2016.1262613","article-title":"Thematic analysis","volume":"12","author":"Clarke","year":"2017","journal-title":"J. Posit. Psychol."},{"key":"10.1016\/j.tele.2026.102434_bb0105","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1007\/s00146-025-02477-6","article-title":"Unveiling trust in AI: the interplay of antecedents, consequences, and cultural dynamics","volume":"41","author":"Dang","year":"2026","journal-title":"AI & Soc."},{"issue":"3","key":"10.1016\/j.tele.2026.102434_bb0110","first-page":"170","article-title":"Can we trust AI? Exploring the effect of estimated accuracy and the actual performance of AI systems on human-AI collaboration","volume":"26","author":"Deng","year":"2025","journal-title":"J. Electron. Commer. Res."},{"issue":"CSCW2","key":"10.1016\/j.tele.2026.102434_bb0115","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3476080","article-title":"Adaptive folk theorization as a path to algorithmic literacy on TikTok","volume":"5","author":"DeVito","year":"2021","journal-title":"Proc. ACM Hum. Comput. Interact."},{"issue":"CSCW2","key":"10.1016\/j.tele.2026.102434_bb0120","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3555105","article-title":"How transfeminine TikTok creators navigate the algorithmic trap of visibility via folk theorization","volume":"6","author":"DeVito","year":"2022","journal-title":"Proc. ACM Hum. Comput. Interact."},{"key":"10.1016\/j.tele.2026.102434_bb0125","series-title":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","first-page":"1","article-title":"How people form folk theories of social media feeds and what it means for how we study self-presentation","author":"DeVito","year":"2018"},{"key":"10.1016\/j.tele.2026.102434_bb0130","series-title":"Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems","first-page":"1","article-title":"The algorithm and the user: how can HCI use lay understandings of algorithmic systems?","author":"DeVito","year":"2018"},{"issue":"1","key":"10.1016\/j.tele.2026.102434_bb0135","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1037\/xge0000033","article-title":"Algorithm aversion: people erroneously avoid algorithms after seeing them err","volume":"144","author":"Dietvorst","year":"2015","journal-title":"J. Exp. Psychol. Gen."},{"issue":"3","key":"10.1016\/j.tele.2026.102434_bb0140","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1287\/mnsc.2016.2643","article-title":"Overcoming algorithm aversion: people will use imperfect algorithms if they can (even slightly) modify them","volume":"64","author":"Dietvorst","year":"2018","journal-title":"Manag. Sci."},{"issue":"1","key":"10.1016\/j.tele.2026.102434_bb0145","doi-asserted-by":"crossref","first-page":"772","DOI":"10.1609\/aies.v8i1.36588","article-title":"Highlight all the phrases: enhancing LLM transparency through visual factuality indicators","volume":"8","author":"Do","year":"2025","journal-title":"Proc. AAAI\/ACM Conf. AI Ethics Soc."},{"issue":"5","key":"10.1016\/j.tele.2026.102434_bb0150","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1080\/01972243.2021.1949768","article-title":"Folk theories of algorithmic operations during internet use: a mixed methods study","volume":"37","author":"Dogruel","year":"2021","journal-title":"Inf. Soc."},{"issue":"6","key":"10.1016\/j.tele.2026.102434_bb0155","doi-asserted-by":"crossref","first-page":"697","DOI":"10.1016\/S1071-5819(03)00038-7","article-title":"The role of trust in automation reliance","volume":"58","author":"Dzindolet","year":"2003","journal-title":"Int. J. Hum. Comput. Stud."},{"key":"10.1016\/j.tele.2026.102434_bb0160","series-title":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing","first-page":"2197","article-title":"Neural path hunter: reducing hallucination in dialogue systems via path grounding","author":"Dziri","year":"2021"},{"key":"10.1016\/j.tele.2026.102434_bb0170","series-title":"Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems","first-page":"2371","article-title":"First, I \u201clike\u201d it, then I hide it: folk theories of social feeds","author":"Eslami","year":"2016"},{"key":"10.1016\/j.tele.2026.102434_bb0175","series-title":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","first-page":"3526","article-title":"\u201cBe careful; things can be an illusion\u201d: understanding signals of algorithms","author":"Eslami","year":"2017"},{"issue":"8017","key":"10.1016\/j.tele.2026.102434_bb0180","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1038\/s41586-024-07421-0","article-title":"Detecting hallucinations in large language models using semantic entropy","volume":"630","author":"Farquhar","year":"2024","journal-title":"Nature"},{"issue":"1","key":"10.1016\/j.tele.2026.102434_bb0185","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1177\/160940690600500107","article-title":"Demonstrating rigor using thematic analysis: a hybrid approach of inductive and deductive coding and theme development","volume":"5","author":"Fereday","year":"2006","journal-title":"Int J Qual Methods"},{"issue":"CSCW","key":"10.1016\/j.tele.2026.102434_bb0190","article-title":"How misclassification severity and timing influence user trust in AI systems","volume":"9","author":"Freel","year":"2025","journal-title":"Proc. ACM Hum. Comput. Interact."},{"issue":"2","key":"10.1016\/j.tele.2026.102434_bb0195","doi-asserted-by":"crossref","first-page":"627","DOI":"10.5465\/annals.2018.0057","article-title":"Human trust in artificial intelligence: review of empirical research","volume":"14","author":"Glikson","year":"2020","journal-title":"Acad. Manag. Ann."},{"key":"10.1016\/j.tele.2026.102434_bb0200","doi-asserted-by":"crossref","first-page":"103622","DOI":"10.1016\/j.ijhcs.2025.103622","article-title":"Uncovering the dynamics of human-AI hybrid performance: a qualitative meta-analysis of empirical studies","volume":"285","author":"G\u00f6nd\u00f6cs","year":"2025","journal-title":"Int. J. Hum.-Comput."},{"issue":"4","key":"10.1016\/j.tele.2026.102434_bb0205","doi-asserted-by":"crossref","first-page":"1949","DOI":"10.1287\/isre.2025.editorial.v36.n4","article-title":"Inventing with machines: generative AI and the evolving landscape of is research","volume":"36","author":"Gopal","year":"2025","journal-title":"Inf. Syst. Res."},{"issue":"15","key":"10.1016\/j.tele.2026.102434_bb0210","doi-asserted-by":"crossref","first-page":"8469","DOI":"10.3390\/app15158469","article-title":"Not an illusion but a manifestation: understanding large language model reasoning limitations through dual-process theory","volume":"15","author":"Gorelik","year":"2025","journal-title":"Appl. Sci."},{"key":"10.1016\/j.tele.2026.102434_bb0215","doi-asserted-by":"crossref","DOI":"10.1016\/j.dss.2021.113515","article-title":"Mental models and expectation violations in conversational AI interactions","volume":"144","author":"Grimes","year":"2021","journal-title":"Decis. Support. Syst."},{"key":"10.1016\/j.tele.2026.102434_bib551","series-title":"The psychology of interpersonal relations","author":"Heider","year":"1958"},{"issue":"3","key":"10.1016\/j.tele.2026.102434_bb0225","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1177\/0018720814547570","article-title":"Trust in automation: integrating empirical evidence on factors that influence trust","volume":"57","author":"Hoff","year":"2015","journal-title":"Hum. Factors"},{"key":"10.1016\/j.tele.2026.102434_bb0230","doi-asserted-by":"crossref","first-page":"1096257","DOI":"10.3389\/fcomp.2023.1096257","article-title":"Measures for explainable AI: explanation goodness, user satisfaction, mental models, curiosity, trust, and human-AI performance","volume":"5","author":"Hoffman","year":"2023","journal-title":"Front. Comput. Sci."},{"issue":"7","key":"10.1016\/j.tele.2026.102434_bb0235","doi-asserted-by":"crossref","first-page":"1920","DOI":"10.1177\/1461444820925798","article-title":"Are you ready for artificial Mozart and Skrillex? An experiment testing expectancy violation theory and AI music","volume":"23","author":"Hong","year":"2020","journal-title":"New Media Soc."},{"issue":"2","key":"10.1016\/j.tele.2026.102434_bb0240","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3703155","article-title":"A survey on hallucination in large language models: principles, taxonomy, challenges, and open questions","volume":"43","author":"Huang","year":"2025","journal-title":"ACM Trans. Inf. Syst."},{"key":"10.1016\/j.tele.2026.102434_bb0245","doi-asserted-by":"crossref","DOI":"10.1016\/j.chb.2022.107253","article-title":"Interacting with medical artificial intelligence: integrating self-responsibility attribution, human-computer trust, and personality","volume":"132","author":"Huo","year":"2022","journal-title":"Comput. Hum. Behav."},{"issue":"1","key":"10.1016\/j.tele.2026.102434_bb0250","doi-asserted-by":"crossref","DOI":"10.1177\/20539517241306345","article-title":"The chat-chamber effect: trusting the AI hallucination","volume":"12","author":"Jacob","year":"2025","journal-title":"Big Data Soc."},{"issue":"12","key":"10.1016\/j.tele.2026.102434_bb0255","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3571730","article-title":"Survey of hallucination in natural language generation","volume":"55","author":"Ji","year":"2023","journal-title":"ACM Comput. Surv."},{"issue":"4","key":"10.1016\/j.tele.2026.102434_bb0260","doi-asserted-by":"crossref","first-page":"1575","DOI":"10.25300\/MISQ\/2024\/18512","article-title":"An integrative perspective on algorithm aversion and appreciation in decision-making","volume":"48","author":"Jussupow","year":"2024","journal-title":"MIS Q."},{"key":"10.1016\/j.tele.2026.102434_bb0265","series-title":"Proceedings of the 56th Annual ACM Symposium on Theory of Computing","first-page":"160","article-title":"Calibrated language models must hallucinate","author":"Kalai","year":"2024"},{"key":"10.1016\/j.tele.2026.102434_bb0270","series-title":"Why Language Models Hallucinate","author":"Kalai","year":"2025"},{"issue":"2","key":"10.1016\/j.tele.2026.102434_bb0275","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1037\/h0034225","article-title":"The processes of causal attribution","volume":"28","author":"Kelley","year":"1973","journal-title":"Am. Psychol."},{"key":"10.1016\/j.tele.2026.102434_bb0280","article-title":"Sorry, it\u2019s my fault: politeness, attribution, and anthropomorphism in managing generative AI hallucinations","volume":"86","author":"Kim","year":"2026","journal-title":"Int. J. Inf. Manag."},{"key":"10.1016\/j.tele.2026.102434_bb0285","article-title":"When generative AI messes up: how politeness and attribution shape user reactions to hallucinations","volume":"85","author":"Kim","year":"2025","journal-title":"Int. J. Inf. Manag."},{"issue":"12","key":"10.1016\/j.tele.2026.102434_bb0290","first-page":"1150","article-title":"Whose voice is it anyway? Understanding AI customization, psychological ownership, and responsibility attribution in human-AI collaboration","volume":"41","author":"Kim","year":"2025","journal-title":"Int. J. Hum. -Comput. Interact."},{"key":"10.1016\/j.tele.2026.102434_bb0295","series-title":"Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems","first-page":"2390","article-title":"How much information? Effects of transparency on trust in an algorithmic interface","author":"Kizilcec","year":"2016"},{"key":"10.1016\/j.tele.2026.102434_bb0300","series-title":"2025 International Conference on Artificial Intelligence and Machine Vision (AIMV)","first-page":"1","article-title":"AI hallucination and strategies to overcome: Enhancing human-AI interaction","author":"Kushwah","year":"2025"},{"issue":"7","key":"10.1016\/j.tele.2026.102434_bb0305","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1108\/INTR-08-2021-0600","article-title":"How to explain AI systems to end users: a systematic literature review and research agenda","volume":"32","author":"Laato","year":"2022","journal-title":"Internet Res."},{"issue":"7","key":"10.1016\/j.tele.2026.102434_bb0310","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1108\/JD-01-2025-0007","article-title":"Everyday encounters with deepfakes: young people\u2019s media and information literacy practices with AI-generated media","volume":"81","author":"Lao","year":"2025","journal-title":"J. Doc."},{"key":"10.1016\/j.tele.2026.102434_bb0315","doi-asserted-by":"crossref","first-page":"100221","DOI":"10.1016\/j.teler.2025.100221","article-title":"Generative AI risks and resilience: how users adapt to hallucination and privacy challenges","volume":"19","author":"Lee","year":"2025","journal-title":"Telemat. Inform. Rep."},{"issue":"1","key":"10.1016\/j.tele.2026.102434_bb0320","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1518\/hfes.46.1.50.30392","article-title":"Trust in automation: designing for appropriate reliance","volume":"46","author":"Lee","year":"2004","journal-title":"Hum. Factors"},{"key":"10.1016\/j.tele.2026.102434_bb0325","first-page":"81","article-title":"From ChatGPT to FactGPT: a participatory design study to mitigate the effects of large language model hallucinations on users","volume":"2023","author":"Leiser","year":"2023","journal-title":"Proc. Mensch Comput."},{"key":"10.1016\/j.tele.2026.102434_bb0330","series-title":"Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems","first-page":"1","article-title":"Hill: a hallucination identifier for large language models","author":"Leiser","year":"2024"},{"key":"10.1016\/j.tele.2026.102434_bb0340","first-page":"1","article-title":"Dynamic calibration of trust and trustworthiness in AI-enabled systems","author":"Liebherr","year":"2026","journal-title":"Int. J. Softw. Tools Technol. Transfer"},{"key":"10.1016\/j.tele.2026.102434_bb0345","doi-asserted-by":"crossref","first-page":"103904","DOI":"10.1016\/j.system.2025.103904","article-title":"Critical digital literacies, generative AI, and the negotiation of agency in human-AI interactions","volume":"136","author":"Lim","year":"2025","journal-title":"System"},{"issue":"6","key":"10.1016\/j.tele.2026.102434_bb0350","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1093\/jcmc\/zmab013","article-title":"In AI we trust? Effects of agency locus and transparency on uncertainty reduction in human-AI interaction","volume":"26","author":"Liu","year":"2021","journal-title":"J. Comput.-Mediat. Commun."},{"key":"10.1016\/j.tele.2026.102434_bb0355","first-page":"1","article-title":"Are AI hallucinations the same as error information? A qualitative exploration of hallucination tolerance and resistance strategies","author":"Liu","year":"2026","journal-title":"Online Inf. Rev."},{"key":"10.1016\/j.tele.2026.102434_bb0360","first-page":"1","article-title":"Hallucinated intelligence? Cognitive and emotional pathways to generative AI reuse","author":"Liu","year":"2026","journal-title":"Aslib J. Inf. Manag."},{"key":"10.1016\/j.tele.2026.102434_bb0365","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.obhdp.2018.12.005","article-title":"Algorithm appreciation: people prefer algorithmic to human judgment","volume":"151","author":"Logg","year":"2019","journal-title":"Organ. Behav. Hum. Decis. Process."},{"issue":"5","key":"10.1016\/j.tele.2026.102434_bb0370","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1518\/001872007X230154","article-title":"Effects of information source, pedagogical strategy, and prior knowledge on trust and reliance in an automated expert system","volume":"49","author":"Madhavan","year":"2007","journal-title":"Hum. Factors"},{"issue":"12","key":"10.1016\/j.tele.2026.102434_bb0375","doi-asserted-by":"crossref","first-page":"173","DOI":"10.32996\/jcsts.2025.7.12.23","article-title":"From competence to calibration: modeling cognitive trust in human-AI collaborative systems","volume":"7","author":"Malik","year":"2025","journal-title":"J. Comput. Sci. Technol. Stud."},{"issue":"1","key":"10.1016\/j.tele.2026.102434_bb0380","doi-asserted-by":"crossref","first-page":"30397","DOI":"10.1038\/s41598-025-15416-8","article-title":"\u201cMy AI is lying to me\u201d: user-reported LLM hallucinations in AI mobile apps reviews","volume":"15","author":"Massenon","year":"2025","journal-title":"Sci. Rep."},{"issue":"7","key":"10.1016\/j.tele.2026.102434_bb0385","doi-asserted-by":"crossref","first-page":"317","DOI":"10.63332\/joph.v5i7.2793","article-title":"Adaptive explainable AI: personalizing machine explanations based on user expertise levels","volume":"5","author":"Mohammed","year":"2025","journal-title":"J. Posthumanism"},{"key":"10.1016\/j.tele.2026.102434_bb0395","first-page":"609","article-title":"Rage against the artificial intelligence?: understanding Contextuality of algorithm aversion and appreciation","volume":"18","author":"Oomen","year":"2024","journal-title":"Int. J. Commun."},{"issue":"2","key":"10.1016\/j.tele.2026.102434_bb0400","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1177\/14614448241293154","article-title":"Trust it or not: understanding users\u2019 motivations and strategies for assessing the credibility of AI-generated information","volume":"28","author":"Ou","year":"2026","journal-title":"New Media Soc."},{"issue":"2","key":"10.1016\/j.tele.2026.102434_bb0405","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1518\/001872097778543886","article-title":"Humans and automation: use, misuse, disuse, abuse","volume":"39","author":"Parasuraman","year":"1997","journal-title":"Hum. Factors"},{"key":"10.1016\/j.tele.2026.102434_bb0410","series-title":"Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems","first-page":"1","article-title":"\u201cIt\u2019s not the AI\u2019s fault because it relies purely on data\u201d: how causal attributions of AI decisions shape trust in AI systems","author":"Pareek","year":"2025"},{"issue":"2","key":"10.1016\/j.tele.2026.102434_bb0415","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1002\/cb.70105","article-title":"AI hallucinations in tourism: how errors impact consumer trust and recommendation acceptance","volume":"25","author":"Rej\u00f3n-Guardia","year":"2026","journal-title":"J. Consum. Behav."},{"issue":"4","key":"10.1016\/j.tele.2026.102434_bb0420","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3769072","article-title":"An exploration of mental models of AI in human-AI co-creativity: a framework and insights","volume":"15","author":"Rezwana","year":"2025","journal-title":"ACM Trans. Interact. Intell. Syst."},{"issue":"7","key":"10.1016\/j.tele.2026.102434_bb0425","doi-asserted-by":"crossref","first-page":"782","DOI":"10.1177\/00936502231221669","article-title":"When a chatbot disappoints you: expectancy violation in human-chatbot interaction in a social support context","volume":"51","author":"Rheu","year":"2024","journal-title":"Commun. Res."},{"key":"10.1016\/j.tele.2026.102434_bb0430","series-title":"2025 3rd International Conference on Foundation and Large Language Models (FLLM)","first-page":"413","article-title":"Calibrated trust in dealing with LLM hallucinations: a qualitative study","author":"Ryser","year":"2025"},{"key":"10.1016\/j.tele.2026.102434_bb0435","doi-asserted-by":"crossref","DOI":"10.1016\/j.obhdp.2025.104405","article-title":"The transparency dilemma: how AI disclosure erodes trust","volume":"188","author":"Schilke","year":"2025","journal-title":"Organ. Behav. Hum. Decis. Process."},{"issue":"15","key":"10.1016\/j.tele.2026.102434_bb0440","doi-asserted-by":"crossref","first-page":"3771","DOI":"10.1080\/0144929X.2024.2448719","article-title":"Understanding human-centred AI: a review of its defining elements and a research agenda","volume":"44","author":"Schmager","year":"2025","journal-title":"Behav. Inform. Technol."},{"issue":"7","key":"10.1016\/j.tele.2026.102434_bb0445","doi-asserted-by":"crossref","first-page":"4017","DOI":"10.1177\/14614448241234040","article-title":"Impact of misinformation from generative AI on user information processing: how people understand misinformation from generative AI","volume":"27","author":"Shin","year":"2025","journal-title":"New Media Soc."},{"key":"10.1016\/j.tele.2026.102434_bb0450","series-title":"Findings of the Association for Computational Linguistics: EMNLP 2021","first-page":"3784","article-title":"Retrieval augmentation reduces hallucination in conversation","author":"Shuster","year":"2021"},{"issue":"1","key":"10.1016\/j.tele.2026.102434_bb0455","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1057\/s41599-024-03811-x","article-title":"AI hallucination: towards a comprehensive classification of distorted information in artificial intelligence-generated content","volume":"11","author":"Sun","year":"2024","journal-title":"Humanit. Soc. Sci. Commun."},{"key":"10.1016\/j.tele.2026.102434_bb0460","series-title":"Digital Media, Youth, and Credibility","first-page":"73","article-title":"The MAIN model: A heuristic approach to understanding technology effects on credibility","author":"Sundar","year":"2008"},{"issue":"1","key":"10.1016\/j.tele.2026.102434_bb0465","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1093\/jcmc\/zmz026","article-title":"Rise of machine agency: a framework for studying the psychology of human-AI interaction (HAII)","volume":"25","author":"Sundar","year":"2020","journal-title":"J. Comput.-Mediat. Commun."},{"issue":"2","key":"10.1016\/j.tele.2026.102434_bb0470","article-title":"Experiencing algorithms: how young people understand, feel about, and engage with algorithmic news selection on social media","volume":"7","author":"Swart","year":"2021","journal-title":"Soc. Media Soc."},{"key":"10.1016\/j.tele.2026.102434_bb0475","article-title":"A cross-sectional study to assess the response generated by ChatGPT and ChatSonic to patient queries about epilepsy","volume":"13","author":"Tirumala","year":"2024","journal-title":"Telemat. Inform. Rep."},{"key":"10.1016\/j.tele.2026.102434_bb0480","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2023.126825","article-title":"Enhancing the confidence of deep learning classifiers via interpretable saliency maps","volume":"562","author":"Tjoa","year":"2023","journal-title":"Neurocomputing"},{"key":"10.1016\/j.tele.2026.102434_bb0485","series-title":"A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models","author":"Tonmoy","year":"2024"},{"issue":"12","key":"10.1016\/j.tele.2026.102434_bb0490","doi-asserted-by":"crossref","first-page":"7763","DOI":"10.1080\/10447318.2024.2400398","article-title":"How to talk to AI: the role of preset prompt language styles in shaping conversational experience","volume":"41","author":"Wang","year":"2025","journal-title":"Int. J. Hum. -Comput. Interact."},{"key":"10.1016\/j.tele.2026.102434_bb0495","series-title":"Sensemaking in Organizations","author":"Weick","year":"1995"},{"issue":"4","key":"10.1016\/j.tele.2026.102434_bb0500","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1037\/0033-295X.92.4.548","article-title":"An attributional theory of achievement motivation and emotion","volume":"92","author":"Weiner","year":"1985","journal-title":"Psychol. Rev."},{"key":"10.1016\/j.tele.2026.102434_bb0505","series-title":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","first-page":"1","article-title":"Measuring and understanding trust calibrations for automated systems: a survey of the state-of-the-art and future directions","author":"Wischnewski","year":"2023"},{"key":"10.1016\/j.tele.2026.102434_bb0510","series-title":"Hallucination is Inevitable: An Innate Limitation of Large Language Models","author":"Xu","year":"2024"},{"key":"10.1016\/j.tele.2026.102434_bb0515","series-title":"International Conference on Human-Computer Interaction","first-page":"193","article-title":"Enhancing fidelity of text-to-image AI generation: a natural language prompt framework for non-experts","author":"Ye","year":"2025"},{"issue":"12","key":"10.1016\/j.tele.2026.102434_bb0520","doi-asserted-by":"crossref","DOI":"10.1007\/s11432-024-4251-x","article-title":"Woodpecker: hallucination correction for multimodal large language models","volume":"67","author":"Yin","year":"2024","journal-title":"SCIENCE CHINA Inf. Sci."},{"key":"10.1016\/j.tele.2026.102434_bb0525","series-title":"Proceedings of the 7th ACM Conference on Conversational User Interfaces","first-page":"1","article-title":"Navigating the fog: how university students recalibrate sensemaking practices to address plausible falsehoods in LLM outputs","author":"Zhang","year":"2025"},{"key":"10.1016\/j.tele.2026.102434_bb0530","series-title":"2024 7th International Conference on Universal Village (UV)","first-page":"1","article-title":"Hallucination in large language models: from mechanistic understanding to novel control frameworks","author":"Zhang","year":"2024"},{"key":"10.1016\/j.tele.2026.102434_bb0535","series-title":"Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency","first-page":"295","article-title":"Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making","author":"Zhang","year":"2020"},{"issue":"4","key":"10.1016\/j.tele.2026.102434_bb0540","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.1162\/COLI.a.16","article-title":"Siren\u2019s Song in the AI ocean: a survey on hallucination in large language models","volume":"51","author":"Zhang","year":"2025","journal-title":"Comput. Linguist."},{"issue":"1","key":"10.1016\/j.tele.2026.102434_bb0545","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1109\/TVCG.2025.3642628","article-title":"ProactiveVA: proactive visual analytics with LLM-based UI agent","volume":"32","author":"Zhao","year":"2025","journal-title":"IEEE Trans. Vis. Comput. Graph."}],"container-title":["Telematics and Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0736585326000705?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0736585326000705?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T06:26:48Z","timestamp":1785911208000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0736585326000705"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":106,"alternative-id":["S0736585326000705"],"URL":"https:\/\/doi.org\/10.1016\/j.tele.2026.102434","relation":{},"ISSN":["0736-5853"],"issn-type":[{"value":"0736-5853","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"When AI lies to me: understanding user recognition, attribution, and response to AI hallucinations in human-AI interaction","name":"articletitle","label":"Article Title"},{"value":"Telematics and Informatics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.tele.2026.102434","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"102434"}}