{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T07:55:44Z","timestamp":1776930944404,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":74,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3772318.3793215","type":"proceedings-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T06:44:11Z","timestamp":1776062651000},"page":"1-42","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Trust Formation in AI Delegation: The Interplay of Explainability and Anthropomorphism"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3431-8573","authenticated-orcid":false,"given":"Chenyang","family":"Li","sequence":"first","affiliation":[{"name":"Innovation, Policy, and Entrepreneurship Thrust, Society Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2385-8126","authenticated-orcid":false,"given":"Zhixuan","family":"Deng","sequence":"additional","affiliation":[{"name":"Innovation, Policy, and Entrepreneurship Thrust, Society Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6212-3267","authenticated-orcid":false,"given":"Hao","family":"Ling","sequence":"additional","affiliation":[{"name":"Innovation, Policy, and Entrepreneurship Thrust, Society Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7937-3827","authenticated-orcid":false,"given":"Xu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Innovation, Policy, and Entrepreneurship Thrust, Society Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China and Division of Emerging Interdisciplinary Areas, The Hong Kong University of Science and Technology, Hong Kong, China"}]}],"member":"320","published-online":{"date-parts":[[2026,4,13]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","unstructured":"A.\u00a0B. Arrieta N. D\u00edaz-Rodr\u00edguez J. Del\u00a0Ser A. Bennetot S. Tabik A. Barbado and F. Herrera. 2020. Explainable Artificial Intelligence (XAI): Concepts taxonomies opportunities and challenges toward responsible AI. Information Fusion 58 (2020) 82\u2013115. 10.1016\/j.inffus.2019.12.012","DOI":"10.1016\/j.inffus.2019.12.012"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","unstructured":"C. Bartneck and Kuli\u0107. 2009. Measurement instruments for the anthropomorphism animacy likeability perceived intelligence and perceived safety of robots. International Journal of Social Robotics 1 1 (2009) 71\u201381. 10.1007\/s12369-008-0001-3","DOI":"10.1007\/s12369-008-0001-3"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","unstructured":"K. Bauer M. Von\u00a0Zahn and O. Hinz. 2023. Expl(AI)ned: The Impact of Explainable Artificial Intelligence on Users\u2019 Information Processing. Information Systems Research 34 4 (2023) 1582\u20131602. 10.1287\/isre.2023.1199","DOI":"10.1287\/isre.2023.1199"},{"key":"e_1_3_3_1_5_2","volume-title":"Please take over: XAI, delegation of authority, and domain knowledge","author":"Bauer K.","year":"2023","unstructured":"K. Bauer, M. von Zahn, and O. Hinz. 2023. Please take over: XAI, delegation of authority, and domain knowledge. Working Paper 394. SAFE."},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"J. Berg J. Dickhaut and K. McCabe. 1995. Trust reciprocity and social history. Games and Economic Behavior 10 1 (1995) 122\u2013142.","DOI":"10.1006\/game.1995.1027"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"R. Cadario C. Longoni and C.\u00a0K. Morewedge. 2021. Understanding explaining and utilizing medical artificial intelligence. Nature Human Behaviour 5 12 (2021) 1636\u20131642.","DOI":"10.1038\/s41562-021-01146-0"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"crossref","unstructured":"S. Cao and C.\u00a0M. Huang. 2022. Understanding user reliance on AI in assisted decision-making. Proceedings of the ACM on Human-Computer Interaction 6 CSCW2 (2022) 1\u201323.","DOI":"10.1145\/3555572"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","unstructured":"B.\u00a0T. Carter and S.\u00a0G. Luke. 2020. Best practices in eye tracking research. International Journal of Psychophysiology 155 (2020) 49\u201362. 10.1016\/j.ijpsycho.2020.05.010","DOI":"10.1016\/j.ijpsycho.2020.05.010"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","unstructured":"N. Castelo M.\u00a0W. Bos and D.\u00a0R. Lehmann. 2019. Task-Dependent Algorithm Aversion. Journal of Marketing Research 56 5 (2019) 809\u2013825. 10.1177\/0022243719851788","DOI":"10.1177\/0022243719851788"},{"key":"e_1_3_3_1_11_2","volume-title":"Dual-process theories in social psychology","author":"Chaiken S.","year":"1999","unstructured":"S. Chaiken and Y. Trope (Eds.). 1999. Dual-process theories in social psychology. Guilford Press, New York."},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"crossref","unstructured":"J. Chandler P. Mueller and G. Paolacci. 2014. Nonna\u00efvet\u00e9 among Amazon Mechanical Turk workers: Consequences and solutions for behavioral researchers. Behavior Research Methods 46 (2014) 112\u2013130.","DOI":"10.3758\/s13428-013-0365-7"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"crossref","unstructured":"W. Chen T. Sawaragi and T. Hiraoka. 2022. Comparing eye-tracking metrics of mental workload caused by NDRTs in semi-autonomous driving. Transportation research part F: traffic psychology and behaviour 89 (2022) 109\u2013128.","DOI":"10.1016\/j.trf.2022.05.004"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"crossref","unstructured":"S. Cohen and T.\u00a0A. Wills. 1985. Stress social support and the buffering hypothesis. Psychological Bulletin 98 2 (1985) 310\u2013357.","DOI":"10.1037\/0033-2909.98.2.310"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","unstructured":"C. Crolic F. Thomaz R. Hadi and A.\u00a0T. Stephen. 2021. Blame the Bot: Anthropomorphism and anger in Customer\u2013Chatbot interactions. Journal of Marketing 86 1 (2021) 132\u2013148. 10.1177\/00222429211045687","DOI":"10.1177\/00222429211045687"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.4573321"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","unstructured":"M.\u00a0T. Dzindolet S.\u00a0A. Peterson R.\u00a0A. Pomranky L.\u00a0G. Pierce and H.\u00a0P. Beck. 2003. The role of trust in automation reliance. International Journal of Human-Computer Studies 58 6 (2003) 697\u2013718. 10.1016\/S1071-5819(03)00038-7","DOI":"10.1016\/S1071-5819(03)00038-7"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","unstructured":"N. Epley A. Waytz and J.\u00a0T. Cacioppo. 2007. On seeing human: a three-factor theory of anthropomorphism. Psychological Review 114 4 (2007) 864\u2013886. 10.1037\/0033-295X.114.4.864","DOI":"10.1037\/0033-295X.114.4.864"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","unstructured":"S.\u00a0T. Fiske A.\u00a0J. Cuddy P. Glick and J. Xu. 2002. A model of (often mixed) stereotype content: Competence and warmth respectively follow from perceived status and competition. Journal of Personality and Social Psychology 82 6 (2002) 878\u2013902. 10.1037\/0022-3514.82.6.878","DOI":"10.1037\/0022-3514.82.6.878"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE-SEIS.2019.00014"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","unstructured":"E. Glikson and A.\u00a0W. Woolley. 2020. Human Trust in Artificial Intelligence: Review of Empirical research. The Academy of Management Annals 14 2 (2020) 627\u2013660. 10.5465\/annals.2018.0057","DOI":"10.5465\/annals.2018.0057"},{"key":"e_1_3_3_1_22_2","unstructured":"GmbH. 2025. Dikablis glasses 3 eye tracking system. https:\/\/ergoneers.com\/. Accessed: 2025-07-13."},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"crossref","unstructured":"J.\u00a0K. Goodman C.\u00a0E. Cryder and A. Cheema. 2013. Data collection in a flat world: The strengths and weaknesses of Mechanical Turk samples. Journal of Behavioral Decision Making 26 3 (2013) 213\u2013224.","DOI":"10.1002\/bdm.1753"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"crossref","unstructured":"G.\u00a0M. Grimes R.\u00a0M. Schuetzler and J.\u00a0S. Giboney. 2021. Mental models and expectation violations in conversational AI interactions. Decision Support Systems 144 (2021) 113515.","DOI":"10.1016\/j.dss.2021.113515"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"crossref","unstructured":"A.\u00a0B. Haque A.\u00a0N. Islam and P. Mikalef. 2023. Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research. Technological Forecasting and Social Change 186 (2023) 122120.","DOI":"10.1016\/j.techfore.2022.122120"},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"publisher","unstructured":"S. Hergeth L. Lorenz R. Vilimek and J.\u00a0F. Krems. 2016. Keep your scanners peeled: Gaze behavior as a measure of automation trust during highly automated driving. Human Factors 58 3 (2016) 509\u2013519. 10.1177\/0018720815625744","DOI":"10.1177\/0018720815625744"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"crossref","unstructured":"R.\u00a0R. Hoffman S.\u00a0T. Mueller G. Klein and J. Litman. 2023. Measures for explainable AI: Explanation goodness user satisfaction mental models curiosity trust and human-AI performance. Frontiers in Computer Science 5 (2023) 1096257.","DOI":"10.3389\/fcomp.2023.1096257"},{"key":"e_1_3_3_1_28_2","volume-title":"Eye tracking: A comprehensive guide to methods and measures","author":"Holmqvist K.","year":"2011","unstructured":"K. Holmqvist and Nystr\u00f6. 2011. Eye tracking: A comprehensive guide to methods and measures. Oxford University Press, Oxford, UK."},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"crossref","unstructured":"J.\u00a0J. Horton. 2023. Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus? arXiv:https:\/\/arXiv.org\/abs\/2301.07543https:\/\/arxiv.org\/abs\/2301.07543 arXiv.org.","DOI":"10.3386\/w31122"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1145\/3368089.3409681"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"publisher","unstructured":"M.\u00a0A. Husairi and P. Rossi. 2024. Delegation of purchasing tasks to AI: The role of perceived choice and decision autonomy. Decision Support Systems 179 (2024) 114166. 10.1016\/j.dss.2023.114166","DOI":"10.1016\/j.dss.2023.114166"},{"key":"e_1_3_3_1_32_2","volume-title":"Thinking, Fast and Slow","author":"Kahneman D.","year":"2011","unstructured":"D. Kahneman. 2011. Thinking, Fast and Slow. Farrar, Straus and Giroux, New York."},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581001"},{"key":"e_1_3_3_1_34_2","doi-asserted-by":"publisher","unstructured":"T.\u00a0W. Kim and A. Duhachek. 2020. Artificial Intelligence and Persuasion: A Construal-Level account. Psychological Science 31 4 (2020) 363\u2013380. 10.1177\/0956797620904985","DOI":"10.1177\/0956797620904985"},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"publisher","unstructured":"M. Langer D. Oster T. Speith H. Hermanns L. K\u00e4stner E. Schmidt A. Sesing and K. Baum. 2021. What do we want from Explainable Artificial Intelligence (XAI)? \u2013 A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research. Artificial Intelligence 296 (2021) 103473. 10.1016\/j.artint.2021.103473","DOI":"10.1016\/j.artint.2021.103473"},{"key":"e_1_3_3_1_36_2","doi-asserted-by":"publisher","unstructured":"J.\u00a0S. Lerner and P.\u00a0E. Tetlock. 1999. Accounting for the effects of accountability. Psychological Bulletin 125 2 (1999) 255\u2013275. 10.1037\/0033-2909.125.2.255","DOI":"10.1037\/0033-2909.125.2.255"},{"key":"e_1_3_3_1_37_2","doi-asserted-by":"crossref","unstructured":"C. Longoni and L. Cian. 2022. Artificial intelligence in utilitarian vs. hedonic contexts: The \u201cword-of-machine\u201d effect. Journal of Marketing 86 1 (2022) 91\u2013108.","DOI":"10.1177\/0022242920957347"},{"key":"e_1_3_3_1_38_2","doi-asserted-by":"crossref","unstructured":"Y. Lu and N. Sarter. 2019. Eye tracking: A process-oriented method for inferring trust in automation as a function of priming and system reliability. IEEE Transactions on Human-Machine Systems 49 6 (2019) 560\u2013568.","DOI":"10.1109\/THMS.2019.2930980"},{"key":"e_1_3_3_1_39_2","doi-asserted-by":"publisher","unstructured":"K.\u00a0F. MacDorman and H. Ishiguro. 2006. The uncanny advantage of using androids in cognitive and social science research. Interaction Studies 7 3 (2006) 297\u2013337. 10.1075\/is.7.3.03mac","DOI":"10.1075\/is.7.3.03mac"},{"key":"e_1_3_3_1_40_2","doi-asserted-by":"crossref","unstructured":"R.\u00a0C. Mayer J.\u00a0H. Davis and F. Schoorman. 1995. An Integrative Model of Organizational Trust. Academy of Management Review 20 3 (1995) 709\u2013734.","DOI":"10.2307\/258792"},{"key":"e_1_3_3_1_41_2","doi-asserted-by":"publisher","unstructured":"D.\u00a0H. McKnight V. Choudhury and C. Kacmar. 2002. Developing and Validating trust Measures for e-Commerce: An Integrative Typology. Information Systems Research 13 3 (2002) 334\u2013359. 10.1287\/isre.13.3.334.81","DOI":"10.1287\/isre.13.3.334.81"},{"key":"e_1_3_3_1_42_2","doi-asserted-by":"crossref","unstructured":"D.\u00a0H. McKnight L.\u00a0L. Cummings and N.\u00a0L. Chervany. 1998. Initial Trust Formation in New Organizational Relationships. Academy of Management Review 23 3 (1998) 473\u2013490.","DOI":"10.2307\/259290"},{"key":"e_1_3_3_1_43_2","doi-asserted-by":"publisher","unstructured":"F. Miao I.\u00a0V. Kozlenkova H. Wang T. Xie and R.\u00a0W. Palmatier. 2021. An emerging theory of avatar Marketing. Journal of Marketing 86 1 (2021) 67\u201390. 10.1177\/0022242921996646","DOI":"10.1177\/0022242921996646"},{"key":"e_1_3_3_1_44_2","doi-asserted-by":"crossref","unstructured":"A.\u00a0S. Milcent A. Kadri and S. Richir. 2022. Using facial expressiveness of a virtual agent to induce empathy in users. International Journal of Human\u2013Computer Interaction 38 3 (2022) 240\u2013252.","DOI":"10.1080\/10447318.2021.1938387"},{"key":"e_1_3_3_1_45_2","doi-asserted-by":"crossref","unstructured":"T. Miller. 2019. Explanation in artificial intelligence: Insights from the social sciences. Artificial Intelligence 267 (2019) 1\u201338.","DOI":"10.1016\/j.artint.2018.07.007"},{"key":"e_1_3_3_1_46_2","doi-asserted-by":"publisher","unstructured":"M. Mori K.\u00a0F. MacDorman and N. Kageki. 2012. The uncanny valley [from the field]. IEEE Robotics & Automation Magazine 19 2 (2012) 98\u2013100. 10.1109\/MRA.2012.2192811","DOI":"10.1109\/MRA.2012.2192811"},{"key":"e_1_3_3_1_47_2","doi-asserted-by":"publisher","unstructured":"M. Nagendran P. Festor M. Komorowski A.\u00a0C. Gordon and A.\u00a0A. Faisal. 2024. Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendations. npj Digital Medicine 7 202 (2024). 10.1038\/s41746-024-01200-x","DOI":"10.1038\/s41746-024-01200-x"},{"key":"e_1_3_3_1_48_2","doi-asserted-by":"publisher","DOI":"10.1609\/hcomp.v7i1.5284"},{"key":"e_1_3_3_1_49_2","doi-asserted-by":"crossref","unstructured":"Nov\u00e1. 2024. Eye tracking usability and user experience: A systematic review. International Journal of Human\u2013Computer Interaction 40 17 (2024) 4484\u20134500.","DOI":"10.1080\/10447318.2023.2221600"},{"key":"e_1_3_3_1_50_2","doi-asserted-by":"crossref","unstructured":"A. Oksanen N. Savela R. Latikka and A. Koivula. 2020. Trust toward robots and artificial intelligence: An experimental approach to human\u2013technology interactions online. Frontiers in Psychology 11 (2020) 568256.","DOI":"10.3389\/fpsyg.2020.568256"},{"key":"e_1_3_3_1_51_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544549.3585808"},{"key":"e_1_3_3_1_52_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4964-1"},{"key":"e_1_3_3_1_53_2","doi-asserted-by":"publisher","unstructured":"W. Pieters. 2010. Explanation and trust: what to tell the user in security and AI? Ethics and Information Technology 13 1 (2010) 53\u201364. 10.1007\/s10676-010-9253-3","DOI":"10.1007\/s10676-010-9253-3"},{"key":"e_1_3_3_1_54_2","doi-asserted-by":"crossref","unstructured":"S. Puntoni R.\u00a0W. Reczek M. Giesler and S. Botti. 2021. Consumers and artificial intelligence: An experiential perspective. Journal of Marketing 85 1 (2021) 131\u2013151.","DOI":"10.1177\/0022242920953847"},{"key":"e_1_3_3_1_55_2","volume-title":"The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places","author":"Reeves B.","year":"1996","unstructured":"B. Reeves and C. Nass. 1996. The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places. Cambridge University Press."},{"key":"e_1_3_3_1_56_2","doi-asserted-by":"publisher","unstructured":"T. Reich A. Kaju and S.\u00a0J. Maglio. 2022. How to overcome algorithm aversion: Learning from mistakes. Journal of Consumer Psychology 33 2 (2022) 285\u2013302. 10.1002\/jcpy.1313","DOI":"10.1002\/jcpy.1313"},{"key":"e_1_3_3_1_57_2","doi-asserted-by":"publisher","DOI":"10.1177\/21695067231194333"},{"key":"e_1_3_3_1_58_2","doi-asserted-by":"crossref","unstructured":"U. Schmid and B. Finzel. 2020. Mutual explanations for cooperative decision making in medicine. KI-K\u00fcnstliche Intelligenz 34 2 (2020) 227\u2013233.","DOI":"10.1007\/s13218-020-00633-2"},{"key":"e_1_3_3_1_59_2","volume-title":"Practices for governing agentic AI systems","author":"Shavit Y.","year":"2023","unstructured":"Y. Shavit, S. Agarwal, M. Brundage, S. Adler, C. O\u2019Keefe, R. Campbell, ..., and D.\u00a0G. Robinson. 2023. Practices for governing agentic AI systems. Research Paper. OpenAI."},{"key":"e_1_3_3_1_60_2","doi-asserted-by":"publisher","DOI":"10.1145\/3375627.3375830"},{"key":"e_1_3_3_1_61_2","doi-asserted-by":"crossref","unstructured":"N. Spatola and T. Chaminade. 2022. Cognitive load increases anthropomorphism of humanoid robot. The automatic path of anthropomorphism. International Journal of Human-Computer Studies 167 (2022) 102884.","DOI":"10.1016\/j.ijhcs.2022.102884"},{"key":"e_1_3_3_1_62_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-387691-1.00002-8"},{"key":"e_1_3_3_1_63_2","doi-asserted-by":"publisher","DOI":"10.1145\/3639478.3640037"},{"key":"e_1_3_3_1_64_2","doi-asserted-by":"crossref","unstructured":"P.\u00a0E. Tetlock. 1983. Accountability and complexity of thought. Journal of Personality and Social Psychology 45 1 (1983) 74.","DOI":"10.1037\/0022-3514.45.1.74"},{"key":"e_1_3_3_1_65_2","doi-asserted-by":"publisher","unstructured":"V. Venkatesh M.\u00a0G. Morris G.\u00a0B. Davis and F.\u00a0D. Davis. 2003. User acceptance of information technology: Toward a unified view. MIS Quarterly 27 3 (2003) 425\u2013478. 10.2307\/30036540","DOI":"10.2307\/30036540"},{"key":"e_1_3_3_1_66_2","doi-asserted-by":"crossref","unstructured":"W. Wang and I. Benbasat. 2007. Recommendation agents for electronic commerce: Effects of explanation facilities on trusting beliefs. Journal of Management Information Systems 23 4 (2007) 217\u2013246.","DOI":"10.2753\/MIS0742-1222230410"},{"key":"e_1_3_3_1_67_2","doi-asserted-by":"publisher","unstructured":"A. Waytz J. Cacioppo and N. Epley. 2010. Who sees human? The stability and importance of individual differences in anthropomorphism. Perspectives on Psychological Science 5 3 (2010) 219\u2013232. 10.1177\/1745691610369336","DOI":"10.1177\/1745691610369336"},{"key":"e_1_3_3_1_68_2","doi-asserted-by":"publisher","unstructured":"A. Waytz J. Heafner and N. Epley. 2014. The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle. Journal of Experimental Social Psychology 52 (2014) 113\u2013117. 10.1016\/j.jesp.2014.01.005","DOI":"10.1016\/j.jesp.2014.01.005"},{"key":"e_1_3_3_1_69_2","doi-asserted-by":"publisher","unstructured":"Z. Xi W. Chen X. Guo W. He Y. Ding B. Hong M. Zhang J. Wang S. Jin E. Zhou R. Zheng X. Fan X. Wang L. Xiong Y. Zhou W. Wang C. Jiang Y. Zou X. Liu Z. Yin S. Dou R. Weng W. Qin Y. Zheng X. Qiu X. Huang Q. Zhang and T. Gui. 2025. The rise and potential of large language model based agents: a survey. Science China Information Sciences 68 2 (jan 2025) 121101. 10.1007\/s11432-024-4222-0","DOI":"10.1007\/s11432-024-4222-0"},{"key":"e_1_3_3_1_70_2","doi-asserted-by":"publisher","unstructured":"Y. Xie K. Zhu P. Zhou and C. Liang. 2023. How does anthropomorphism improve human-AI interaction satisfaction: a dual-path model. Computers in Human Behavior 148 (2023) 107878. 10.1016\/j.chb.2023.107878","DOI":"10.1016\/j.chb.2023.107878"},{"key":"e_1_3_3_1_71_2","doi-asserted-by":"crossref","unstructured":"K.\u00a0C. Yam Y. Bigman and K. Gray. 2021. Reducing the uncanny valley by dehumanizing humanoid robots. Computers in Human Behavior 125 (2021) 106945.","DOI":"10.1016\/j.chb.2021.106945"},{"key":"e_1_3_3_1_72_2","doi-asserted-by":"publisher","unstructured":"Y. Zhang and X. Chen. 2020. Explainable Recommendation: A Survey and New Perspectives. Found. Trends Inf. Retr. 14 1 (March 2020) 1\u2013101. 10.1561\/1500000066","DOI":"10.1561\/1500000066"},{"key":"e_1_3_3_1_73_2","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372852"},{"key":"e_1_3_3_1_74_2","doi-asserted-by":"publisher","DOI":"10.1145\/3610978.3640649"},{"key":"e_1_3_3_1_75_2","doi-asserted-by":"crossref","unstructured":"J. Z\u0142otowski D. Proudfoot K. Yogeeswaran and C. Bartneck. 2015. Anthropomorphism: Opportunities and challenges in human\u2013robot interaction. International Journal of Social Robotics 7 3 (2015) 347\u2013360.","DOI":"10.1007\/s12369-014-0267-6"}],"event":{"name":"CHI 2026: CHI Conference on Human Factors in Computing Systems","location":"Barcelona Spain","acronym":"CHI '26","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3772318.3793215","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T07:54:36Z","timestamp":1776066876000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3772318.3793215"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,13]]},"references-count":74,"alternative-id":["10.1145\/3772318.3793215","10.1145\/3772318"],"URL":"https:\/\/doi.org\/10.1145\/3772318.3793215","relation":{},"subject":[],"published":{"date-parts":[[2026,4,13]]},"assertion":[{"value":"2026-04-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}