{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T16:02:16Z","timestamp":1780329736320,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":61,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,6,7]],"date-time":"2026-06-07T00:00:00Z","timestamp":1780790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/legalcode"}],"funder":[{"name":"JST K Program","award":["JPMJKP24C2"],"award-info":[{"award-number":["JPMJKP24C2"]}]},{"name":"JST CREST","award":["JPMJCR2562"],"award-info":[{"award-number":["JPMJCR2562"]}]},{"name":"JST FOREST","award":["JPMJFR232R"],"award-info":[{"award-number":["JPMJFR232R"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,6,8]]},"DOI":"10.1145\/3774935.3806190","type":"proceedings-article","created":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T14:44:13Z","timestamp":1780325053000},"page":"60-69","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Eyes Can\u2019t Always Tell: Fusing Eye Tracking and User Priors for User Modeling under AI Advice Conditions"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8188-7576","authenticated-orcid":false,"given":"Xin","family":"Sun","sequence":"first","affiliation":[{"name":"National Institute of Informatics, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6854-2488","authenticated-orcid":false,"given":"Shu","family":"Wei","sequence":"additional","affiliation":[{"name":"Yale School of Medicine, New Haven, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4068-8121","authenticated-orcid":false,"given":"Ting","family":"Pan","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4400-0275","authenticated-orcid":false,"given":"Yajing","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7780-4806","authenticated-orcid":false,"given":"Jos A.","family":"Bosch","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4908-1860","authenticated-orcid":false,"given":"Isao","family":"Echizen","sequence":"additional","affiliation":[{"name":"National Institute of Informatics, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9954-4088","authenticated-orcid":false,"given":"Abdallah","family":"El Ali","sequence":"additional","affiliation":[{"name":"Centrum Wiskunde & Informatica, Amsterdam, Netherlands and Utrecht University, Utrecht, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0061-0680","authenticated-orcid":false,"given":"Saku","family":"Sugawara","sequence":"additional","affiliation":[{"name":"National Institute of Informatics, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,7]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"1988. Newton Raphson and EM algorithms for linear mixed effects models for repeated measures data. J. Amer. Statist. Assoc. 83 404 (1988) 1014\u20131022.","DOI":"10.1080\/01621459.1988.10478693"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","unstructured":"Yasmeen Abdrabou Elisaveta Karypidou Florian Alt and Mariam Hassib. 2023. Investigating User Behavior Towards Fake News on Social Media Using Gaze and Mouse Movements. 10.14722\/usec.2023.232041","DOI":"10.14722\/usec.2023.232041"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3577190.3614148"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/SAMI50585.2021.9378655"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","unstructured":"Kumar Akash Wan-Lin Hu Neera Jain and Tahira Reid. 2018. A Classification Model for Sensing Human Trust in Machines Using EEG and GSR. ACM Trans. Interact. Intell. Syst. 8 4 Article 27 (nov 2018) 20\u00a0pages. 10.1145\/3132743","DOI":"10.1145\/3132743"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","unstructured":"Severin Bachmann. 2025. Efficient XAI: A Low-Cost Data Reduction Approach to SHAP Interpretability. J. Artif. Int. Res. (2025) 21\u00a0pages. 10.1613\/jair.1.18325","DOI":"10.1613\/jair.1.18325"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580917"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1017\/9781107415782.001"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","unstructured":"Astrid Carolus Martin\u00a0J. Koch Samantha Straka Marc\u00a0Erich Latoschik and Carolin Wienrich. 2023. MAILS - Meta AI literacy scale: Development and testing of an AI literacy questionnaire based on well-founded competency models and psychological change- and meta-competencies. Computers in Human Behavior: Artificial Humans 1 2 (2023) 100014. 10.1016\/j.chbah.2023.100014","DOI":"10.1016\/j.chbah.2023.100014"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613905.3636286"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","unstructured":"Peter Christen David\u00a0J. Hand and Nishadi Kirielle. 2023. A Review of the F-Measure: Its History Properties Criticism and Alternatives. ACM Comput. Surv. 56 3 Article 73 (Oct. 2023) 24\u00a0pages. 10.1145\/3606367","DOI":"10.1145\/3606367"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"crossref","unstructured":"Franz Faul Edgar Erdfelder Albert-Georg Lang and Axel Buchner. 2007. G*Power 3: a flexible statistical power analysis program for the social behavioral and biomedical sciences. Behav. Res. Methods 39 2 (May 2007) 175\u2013191.","DOI":"10.3758\/BF03193146"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"crossref","unstructured":"Mor Geva Daniel Khashabi Elad Segal Tushar Khot Dan Roth and Jonathan Berant. 2021. Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies. arxiv:https:\/\/arXiv.org\/abs\/2101.02235\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2101.02235","DOI":"10.1162\/tacl_a_00370"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/3699682.3728340"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.4135\/9781412983419"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","unstructured":"Catalina Gomez Sue\u00a0Min Cho Shichang Ke Chien-Ming Huang and Mathias Unberath. 2025. Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review. Frontiers in Computer Science Volume 6 - 2024 (2025). 10.3389\/fcomp.2024.1521066","DOI":"10.3389\/fcomp.2024.1521066"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512248"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0166-4115(08)62386-9"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9863-7_1215"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","unstructured":"Robert\u00a0R. Hoffman Matthew Johnson Jeffrey\u00a0M. Bradshaw and Al Underbrink. 2013. Trust in Automation. IEEE Intelligent Systems 28 1 (Jan. 2013) 84\u201388. 10.1109\/MIS.2013.24","DOI":"10.1109\/MIS.2013.24"},{"key":"e_1_3_3_1_22_2","volume-title":"Eye tracking: A comprehensive guide to methods and measures","author":"Holmqvist Kenneth","year":"2011","unstructured":"Kenneth Holmqvist, Marcus Nystrom, Richard Andersson, Richard Dewhurst, Halszka Jarodzka, and Joost Van\u00a0de Weijer. 2011. Eye tracking: A comprehensive guide to methods and measures. Oxford University Press, United States."},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-21565-1_32"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657793"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/3320435.3320445"},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86993-9_50"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300717"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"publisher","DOI":"10.1145\/3375627.3375833"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"publisher","DOI":"10.1145\/3603555.3603565"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706598.3713336"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533182"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"publisher","unstructured":"Q.\u00a0Vera Liao Mihaela Vorvoreanu Hari Subramonyam and Lauren Wilcox. 2024. UX Matters: The Critical Role of UX in Responsible AI. Interactions 31 4 (jun 2024) 22\u201327. 10.1145\/3665504","DOI":"10.1145\/3665504"},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"crossref","unstructured":"Jia\u00a0Zheng Lim James Mountstephens and Jason Teo. 2022. Eye-Tracking Feature Extraction for Biometric Machine Learning. Front Neurorobot 15 (Feb. 2022) 796895.","DOI":"10.3389\/fnbot.2021.796895"},{"key":"e_1_3_3_1_34_2","series-title":"(IJCAI\u201903)","first-page":"519","volume-title":"Proceedings of the 18th International Joint Conference on Artificial Intelligence","author":"Ling Charles\u00a0X.","year":"2003","unstructured":"Charles\u00a0X. Ling, Jin Huang, and Harry Zhang. 2003. AUC: a statistically consistent and more discriminating measure than accuracy. In Proceedings of the 18th International Joint Conference on Artificial Intelligence (Acapulco, Mexico) (IJCAI\u201903). Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 519\u2013524."},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"publisher","unstructured":"Katelyn Morrison Philipp Spitzer Violet Turri Michelle Feng Niklas K\u00fchl and Adam Perer. 2024. The Impact of Imperfect XAI on Human-AI Decision-Making. Proc. ACM Hum.-Comput. Interact. 8 CSCW1 Article 183 (April 2024) 39\u00a0pages. 10.1145\/3641022","DOI":"10.1145\/3641022"},{"key":"e_1_3_3_1_36_2","doi-asserted-by":"publisher","unstructured":"Kim Ouwehand Avalon van\u00a0der Kroef Jacqueline Wong and Fred Paas. 2021. Measuring Cognitive Load: Are There More Valid Alternatives to Likert Rating Scales? Frontiers in Education Volume 6 - 2021 (2021). 10.3389\/feduc.2021.702616 DOI=10.3389\/feduc.2021.702616 ISSN=2504-284X","DOI":"10.3389\/feduc.2021.702616"},{"key":"e_1_3_3_1_37_2","unstructured":"Saurin\u00a0S. Parikh. 2018. Eye Gaze Feature Classification for Predicting Levels of Learning. https:\/\/api.semanticscholar.org\/CorpusID:53471366"},{"key":"e_1_3_3_1_38_2","doi-asserted-by":"crossref","unstructured":"Jonathan Peirce Jeremy\u00a0R Gray Sol Simpson Michael MacAskill Richard H\u00f6chenberger Hiroyuki Sogo Erik Kastman and Jonas\u00a0Kristoffer Lindel\u00f8v. 2019. PsychoPy2: Experiments in behavior made easy. Behavior Research Methods 51 1 (Feb. 2019) 195\u2013203.","DOI":"10.3758\/s13428-018-01193-y"},{"key":"e_1_3_3_1_39_2","doi-asserted-by":"crossref","unstructured":"Giuseppe Romeo and Daniela Conti. 2025. Exploring automation bias in human\u2013AI collaboration: a review and implications for explainable AI. AI Soc. (July 2025).","DOI":"10.1007\/s00146-025-02422-7"},{"key":"e_1_3_3_1_40_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-6351-086-8_4"},{"key":"e_1_3_3_1_41_2","doi-asserted-by":"publisher","DOI":"10.1145\/355017.355028"},{"key":"e_1_3_3_1_42_2","doi-asserted-by":"publisher","DOI":"10.1145\/3581641.3584066"},{"key":"e_1_3_3_1_43_2","doi-asserted-by":"publisher","unstructured":"Le\u00a0Hoang Son. 2016. Dealing with the new user cold-start problem in recommender systems: A comparative review. Information Systems 58 (2016) 87\u2013104. 10.1016\/j.is.2014.10.001","DOI":"10.1016\/j.is.2014.10.001"},{"key":"e_1_3_3_1_44_2","doi-asserted-by":"publisher","unstructured":"Aaron Springer and Steve Whittaker. 2020. Progressive Disclosure: When Why and How Do Users Want Algorithmic Transparency Information? ACM Trans. Interact. Intell. Syst. 10 4 Article 29 (Oct. 2020) 32\u00a0pages. 10.1145\/3374218","DOI":"10.1145\/3374218"},{"key":"e_1_3_3_1_45_2","doi-asserted-by":"publisher","unstructured":"Xin Sun Rongjun Ma Shu Wei Pablo Cesar Jos\u00a0A. Bosch and Abdallah El Ali. 2026. Understanding trust toward human versus AI-generated health information through behavioral and physiological sensing. International Journal of Human-Computer Studies 209 (2026) 103714. 10.1016\/j.ijhcs.2025.103714","DOI":"10.1016\/j.ijhcs.2025.103714"},{"key":"e_1_3_3_1_46_2","doi-asserted-by":"publisher","DOI":"10.1145\/3772363.3798613"},{"key":"e_1_3_3_1_47_2","doi-asserted-by":"publisher","unstructured":"Anna Taudien Andreas F\u00fcgener Alok Gupta and Wolfgang Ketter. 2022. The Effect of AI Advice on Human Confidence in Decision-Making. 10.24251\/HICSS.2022.029","DOI":"10.24251\/HICSS.2022.029"},{"key":"e_1_3_3_1_48_2","unstructured":"Tobii AB. 2024. Tobii Pro Lab (Version 1.2xx)."},{"key":"e_1_3_3_1_49_2","doi-asserted-by":"publisher","DOI":"10.1145\/3099023.3099059"},{"key":"e_1_3_3_1_50_2","doi-asserted-by":"crossref","unstructured":"Ralf Van\u00a0der Lans Michel Wedel and Rik Pieters. 2011. Defining eye-fixation sequences across individuals and tasks: the Binocular-Individual Threshold (BIT) algorithm. Behavior research methods 43 (2011) 239\u2013257.","DOI":"10.3758\/s13428-010-0031-2"},{"key":"e_1_3_3_1_51_2","unstructured":"Helena Vasconcelos Matthew J\u00f6rke Madeleine Grunde-McLaughlin Tobias Gerstenberg Michael Bernstein and Ranjay Krishna. 2023. Explanations Can Reduce Overreliance on AI Systems During Decision-Making. arxiv:https:\/\/arXiv.org\/abs\/2212.06823\u00a0[cs.HC] https:\/\/arxiv.org\/abs\/2212.06823"},{"key":"e_1_3_3_1_52_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642018"},{"key":"e_1_3_3_1_53_2","doi-asserted-by":"publisher","unstructured":"Oleksandra Vereschak Gilles Bailly and Baptiste Caramiaux. 2021. How to Evaluate Trust in AI-Assisted Decision Making? A Survey of Empirical Methodologies. Proc. ACM Hum.-Comput. Interact. 5 CSCW2 Article 327 (Oct. 2021) 39\u00a0pages. 10.1145\/3476068","DOI":"10.1145\/3476068"},{"key":"e_1_3_3_1_54_2","doi-asserted-by":"crossref","unstructured":"L Wang and J\u00a0A Stern. 2001. Saccade initiation and accuracy in gaze shifts are affected by visual stimulus significance. Psychophysiology 38 1 (Jan. 2001) 64\u201375.","DOI":"10.1111\/1469-8986.3810064"},{"key":"e_1_3_3_1_55_2","doi-asserted-by":"publisher","DOI":"10.1109\/HRI.2016.7451741"},{"key":"e_1_3_3_1_56_2","doi-asserted-by":"publisher","DOI":"10.54941\/ahfe1004203"},{"key":"e_1_3_3_1_57_2","doi-asserted-by":"crossref","unstructured":"Michel Wedel Rik Pieters and Ralf van\u00a0der Lans. 2023. Modeling eye movements during decision making: A review. Psychometrika 88 2 (June 2023) 697\u2013729.","DOI":"10.1007\/s11336-022-09876-4"},{"key":"e_1_3_3_1_58_2","unstructured":"Wikipwdia. 2023. Hallucination (artificial intelligence) - Wikipedia. https:\/\/en.wikipedia.org\/wiki\/Hallucination_(artificial_intelligence). (Accessed on 10\/10\/2023)."},{"key":"e_1_3_3_1_59_2","unstructured":"Jiayi Yao Haibo Sun and Nianwen Xue. 2025. Fact-checking AI-generated news reports: Can LLMs catch their own lies? arxiv:https:\/\/arXiv.org\/abs\/2503.18293\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2503.18293"},{"key":"e_1_3_3_1_60_2","doi-asserted-by":"publisher","unstructured":"Yunfeng Zhang Q.\u00a0Vera Liao and Rachel K.\u00a0E. Bellamy. 2020. Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making(FAT* \u201920). ACM New York NY USA 295\u2013305. 10.1145\/3351095.3372852","DOI":"10.1145\/3351095.3372852"},{"key":"e_1_3_3_1_61_2","doi-asserted-by":"publisher","unstructured":"\u00d6mer S\u00fcmer Efe Bozkir Thomas K\u00fcbler Sven Gr\u00fcner Sonja Utz and Enkelejda Kasneci. 2021. FakeNewsPerception: An eye movement dataset on the perceived believability of news stories. Data in Brief 35 (2021) 106909. 10.1016\/j.dib.2021.106909","DOI":"10.1016\/j.dib.2021.106909"},{"key":"e_1_3_3_1_62_2","doi-asserted-by":"publisher","unstructured":"Jakub \u0160t\u011bp\u00e1n Nov\u00e1k Jan Masner Petr Benda Pavel \u0160imek and Vojt\u011bch Merunka. 2024. Eye Tracking Usability and User Experience: A Systematic Review. International Journal of Human\u2013Computer Interaction 40 17 (2024) 4484\u20134500. 10.1080\/10447318.2023.2221600 arXiv:https:\/\/doi.org\/10.1080\/10447318.2023.2221600","DOI":"10.1080\/10447318.2023.2221600"}],"event":{"name":"UMAP '26: 34th ACM Conference on User Modeling, Adaptation and Personalization","location":"Gothenburg , Sweden","acronym":"UMAP '26","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization"],"original-title":[],"deposited":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T15:12:02Z","timestamp":1780326722000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774935.3806190"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,7]]},"references-count":61,"alternative-id":["10.1145\/3774935.3806190","10.1145\/3774935"],"URL":"https:\/\/doi.org\/10.1145\/3774935.3806190","relation":{},"subject":[],"published":{"date-parts":[[2026,6,7]]},"assertion":[{"value":"2026-06-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}