{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T07:57:38Z","timestamp":1776931058332,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":96,"publisher":"ACM","license":[{"start":{"date-parts":[[2027,3,22]],"date-time":"2027-03-22T00:00:00Z","timestamp":1805673600000},"content-version":"vor","delay-in-days":365,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"IBM Ph.D. Fellowship","award":["-"],"award-info":[{"award-number":["-"]}]},{"name":"Notre Dame\u2013IBM Technology Ethics Lab Award","award":["-"],"award-info":[{"award-number":["-"]}]},{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["CNS-2426395"],"award-info":[{"award-number":["CNS-2426395"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Google Research Scholar Award","award":["-"],"award-info":[{"award-number":["-"]}]},{"name":"NVIDIA Academic Hardware Grant","award":["-"],"award-info":[{"award-number":["-"]}]},{"name":"Adobe Inc.","award":["-"],"award-info":[{"award-number":["-"]}]},{"name":"Amazon Science Award","award":["-"],"award-info":[{"award-number":["-"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,3,23]]},"DOI":"10.1145\/3742413.3789219","type":"proceedings-article","created":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T11:32:24Z","timestamp":1772537544000},"page":"909-927","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["The Behavioral Fabric of LLM-Powered GUI Agents: Human Values and Interaction Outcomes"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1772-6065","authenticated-orcid":false,"given":"Simret Araya","family":"Gebreegziabher","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1971-4468","authenticated-orcid":false,"given":"Yukun","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6079-4355","authenticated-orcid":false,"given":"Charles","family":"Chiang","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6979-1072","authenticated-orcid":false,"given":"Hojun","family":"Yoo","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9161-4088","authenticated-orcid":false,"given":"Chaoran","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8297-6792","authenticated-orcid":false,"given":"Hyo Jin","family":"Do","sequence":"additional","affiliation":[{"name":"IBM Research, Cambridge, Massachusetts, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0686-7911","authenticated-orcid":false,"given":"Zahra","family":"Ashktorab","sequence":"additional","affiliation":[{"name":"Thomas J. Watson Center, IBM Research, Yorktown Heights, New York, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4699-5026","authenticated-orcid":false,"given":"Werner","family":"Geyer","sequence":"additional","affiliation":[{"name":"IBM Research, Cambridge, Massachusetts, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4609-6293","authenticated-orcid":false,"given":"Diego","family":"G\u00f3mez-Zar\u00e1","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7902-7625","authenticated-orcid":false,"given":"Toby Jia-Jun","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,3,22]]},"reference":[{"key":"e_1_3_3_2_2_2","series-title":"(ICML\u201923)","volume-title":"Proceedings of the 40th International Conference on Machine Learning","author":"Aher Gati","year":"2023","unstructured":"Gati Aher, Rosa\u00a0I. Arriaga, and Adam\u00a0Tauman Kalai. 2023. Using large language models to simulate multiple humans and replicate human subject studies. In Proceedings of the 40th International Conference on Machine Learning (Honolulu, Hawaii, USA) (ICML\u201923). JMLR.org, Article 17, 35\u00a0pages."},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"crossref","unstructured":"Lisa\u00a0P Argyle Ethan\u00a0C Busby Nancy Fulda Joshua\u00a0R Gubler Christopher Rytting and David Wingate. 2023. Out of one many: Using language models to simulate human samples. Political Analysis 31 3 (2023) 337\u2013351.","DOI":"10.1017\/pan.2023.2"},{"key":"e_1_3_3_2_4_2","unstructured":"Joshua Ashkinaze Tuan Vuong Shiqing Hao Adin Caldoza Justis Poon Jinjin Li Ziheng Chen Kashan Khan Haitai Yang Danny Halawi et\u00a0al. 2024. Plurals: A System for Guiding LLMs via Simulated Social Ensembles. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2409.17213 (2024). https:\/\/arxiv.org\/abs\/2409.17213"},{"key":"e_1_3_3_2_5_2","unstructured":"Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen Anna Goldie Azalia Mirhoseini Sam McCandlish Chris Olah Dario Amodei et\u00a0al. 2022. Constitutional AI: Harmlessness from AI Feedback. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2212.08073 (2022)."},{"key":"e_1_3_3_2_6_2","unstructured":"Roshita Bhonsle Rishav Dutta Sneha Vavilapalli Harsh Seth Abubakarr Jaye Yapei Chang Mukund Rungta Emmanuel\u00a0Aboah Boateng Sadid Hasan Ehi Nosakhare et\u00a0al. 2025. Auto-Eval Judge: Towards a General Agentic Framework for Task Completion Evaluation. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2508.05508 (2025)."},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"crossref","unstructured":"Uwe\u00a0M Borghoff Paolo Bottoni and Remo Pareschi. 2025. Human-artificial interaction in the age of agentic AI: a system-theoretical approach. Frontiers in Human Dynamics 7 (2025) 1579166.","DOI":"10.3389\/fhumd.2025.1579166"},{"key":"e_1_3_3_2_8_2","unstructured":"Virginia Braun and Victoria Clarke. 2021. Thematic analysis: A practical guide. (2021)."},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3746059.3747798"},{"key":"e_1_3_3_2_10_2","volume-title":"CHI conference proceedingsCHI Conference","author":"Chen Chaoran","year":"2024","unstructured":"Chaoran Chen, Bingsheng Yao, Yanfang Ye, Dakuo Wang, and Toby Jia-Jun Li. 2024. Evaluating the LLM agents for simulating humanoid behavior. In CHI conference proceedingsCHI Conference. The ACM Conference on Human Factors in Computing Systems-HEAL Workshop (HEAL\u00a0\u2026."},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.findings-acl.938"},{"key":"e_1_3_3_2_12_2","unstructured":"Chaoran Chen Zhiping Zhang Bingcan Guo Shang Ma Ibrahim Khalilov Simret\u00a0A Gebreegziabher Yanfang Ye Ziang Xiao Yaxing Yao Tianshi Li et\u00a0al. 2025. The Obvious Invisible Threat: LLM-Powered GUI Agents\u2019 Vulnerability to Fine-Print Injections. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2504.11281 (2025)."},{"key":"e_1_3_3_2_13_2","unstructured":"Junjie Chen Haitao Li Jingli Yang Yiqun Liu and Qingyao Ai. 2025. Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2504.16563 (2025)."},{"key":"e_1_3_3_2_14_2","unstructured":"Nuo Chen Yan Wang Yang Deng and Jia Li. 2024. The oscars of ai theater: A survey on role-playing with language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2407.11484 (2024)."},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"crossref","unstructured":"Xiaohong Chen and Yuan Zhou. 2025. User Behavior on Value Co-Creation in Human\u2013Computer Interaction: A Meta-Analysis and Research Synthesis. Electronics 14 6 (2025) 1071.","DOI":"10.3390\/electronics14061071"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"crossref","unstructured":"Stefania Costantini. 2022. Ensuring trustworthy and ethical behaviour in intelligent logical agents. Journal of Logic and Computation 32 2 (2022) 443\u2013478.","DOI":"10.1093\/logcom\/exab091"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"crossref","unstructured":"Xiang Deng Yu Gu Boyuan Zheng Shijie Chen Sam Stevens Boshi Wang Huan Sun and Yu Su. 2023. Mind2web: Towards a generalist agent for the web. Advances in Neural Information Processing Systems 36 (2023) 28091\u201328114.","DOI":"10.52202\/075280-1220"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Ward Edwards Ralph\u00a0F Miles and Detlof Von\u00a0Winterfeldt. 2007. Advances in decision analysis. Cambridge new york (2007) 202\u2013220.","DOI":"10.1017\/CBO9780511611308"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"crossref","unstructured":"Lisa\u00a0M Ellram. 1995. Total cost of ownership: an analysis approach for purchasing. International Journal of Physical Distribution & Logistics Management 25 8 (1995) 4\u201323.","DOI":"10.1108\/09600039510099928"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706598.3713581"},{"key":"e_1_3_3_2_21_2","unstructured":"Adam Fourney Gagan Bansal Hussein Mozannar Cheng Tan Eduardo Salinas Friederike Niedtner Grace Proebsting Griffin Bassman Jack Gerrits Jacob Alber et\u00a0al. 2024. Magentic-one: A generalist multi-agent system for solving complex tasks. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2411.04468 (2024)."},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"crossref","unstructured":"Iason Gabriel. 2020. Artificial intelligence values and alignment. Minds and machines 30 3 (2020) 411\u2013437.","DOI":"10.1007\/s11023-020-09539-2"},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1145\/3729176.3729199"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3174108"},{"key":"e_1_3_3_2_25_2","unstructured":"Zhicheng Guo Sijie Cheng Hao Wang Shihao Liang Yujia Qin Peng Li Zhiyuan Liu Maosong Sun and Yang Liu. 2024. Stabletoolbench: Towards stable large-scale benchmarking on tool learning of large language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2403.07714 (2024)."},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"publisher","unstructured":"Diego G\u00f3mez-Zar\u00e1 Yozen Liu Leonardo Neves Neil Shah and Maarten\u00a0W. Bos. 2024. Unpacking the exploration\u2013exploitation tradeoff on Snapchat: The relationships between users\u2019 exploration\u2013exploitation interests and server log data. Computers in Human Behavior 150 (2024) 108014. 10.1016\/j.chb.2023.108014","DOI":"10.1016\/j.chb.2023.108014"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","unstructured":"M.\u00a0R. Haupt L. Yang T. Purnat and T. Mackey. 2024. Evaluating the Influence of Role-Playing Prompts on ChatGPT\u2019s Misinformation Detection Accuracy: Quantitative Study. JMIR Infodemiology 4 (Sept. 2024) e60678. 10.2196\/60678","DOI":"10.2196\/60678"},{"key":"e_1_3_3_2_28_2","unstructured":"Hongliang He Wenlin Yao Kaixin Ma Wenhao Yu Yong Dai Hongming Zhang Zhenzhong Lan and Dong Yu. 2024. WebVoyager: Building an end-to-end web agent with large multimodal models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2401.13919 (2024)."},{"key":"e_1_3_3_2_29_2","unstructured":"Dan Hendrycks Collin Burns Steven Basart Andrew Critch Jerry Li Dawn Song and Jacob Steinhardt. 2020. Aligning ai with shared human values. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2008.02275 (2020)."},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01354"},{"key":"e_1_3_3_2_31_2","unstructured":"Xu Huang Weiwen Liu Xiaolong Chen Xingmei Wang Hao Wang Defu Lian Yasheng Wang Ruiming Tang and Enhong Chen. 2024. Understanding the planning of LLM agents: a survey. URL https:\/\/arxiv.org\/abs\/2402.02716 (2024)."},{"key":"e_1_3_3_2_32_2","unstructured":"Alexis Huet Zied\u00a0Ben Houidi and Dario Rossi. 2025. Episodic Memories Generation and Evaluation Benchmark for Large Language Models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2501.13121 (2025)."},{"key":"e_1_3_3_2_33_2","doi-asserted-by":"crossref","unstructured":"Faria Huq Zora\u00a0Zhiruo Wang Frank\u00a0F Xu Tianyue Ou Shuyan Zhou Jeffrey\u00a0P Bigham and Graham Neubig. 2025. CowPilot: A Framework for Autonomous and Human-Agent Collaborative Web Navigation. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2501.16609 (2025).","DOI":"10.18653\/v1\/2025.naacl-demo.17"},{"key":"e_1_3_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-demos.8"},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"crossref","unstructured":"Rama\u00a0K Jayanti and Alvin\u00a0C Burns. 1998. The antecedents of preventive health care behavior: An empirical study. Journal of the academy of marketing science 26 1 (1998) 6\u201315.","DOI":"10.1177\/0092070398261002"},{"key":"e_1_3_3_2_36_2","volume-title":"The luxury strategy","author":"Kapferer Jean-No\u00ebl","year":"2009","unstructured":"Jean-No\u00ebl Kapferer and Vincent Bastien. 2009. The luxury strategy. Vol.\u00a010. Kogan page London."},{"key":"e_1_3_3_2_37_2","volume-title":"ICLR 2025 Workshop on Foundation Models in the Wild","author":"Kara Su","year":"2025","unstructured":"Su Kara, Fazle Faisal, and Suman Nath. 2025. Waber: Evaluating reliability and efficiency of web agents with existing benchmarks. In ICLR 2025 Workshop on Foundation Models in the Wild."},{"key":"e_1_3_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139174084"},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"crossref","unstructured":"Mehdi Khamassi Marceau Nahon and Raja Chatila. 2024. Strong and weak alignment of large language models with human values. Scientific Reports 14 1 (2024) 19399.","DOI":"10.1038\/s41598-024-70031-3"},{"key":"e_1_3_3_2_40_2","unstructured":"Hyuhng\u00a0Joon Kim Youna Kim Cheonbok Park Junyeob Kim Choonghyun Park Kang\u00a0Min Yoo Sang-goo Lee and Taeuk Kim. 2024. Aligning language models to explicitly handle ambiguity. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2404.11972 (2024)."},{"key":"e_1_3_3_2_41_2","unstructured":"Jaekyeom Kim Dong-Ki Kim Lajanugen Logeswaran Sungryull Sohn and Honglak Lee. 2024. Auto-intent: Automated intent discovery and self-exploration for large language model web agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2410.22552 (2024)."},{"key":"e_1_3_3_2_42_2","unstructured":"David Kirsh. 2009. Problem solving and situated cognition. (2009)."},{"key":"e_1_3_3_2_43_2","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671620"},{"key":"e_1_3_3_2_44_2","doi-asserted-by":"crossref","unstructured":"John\u00a0L Lastovicka Lance\u00a0A Bettencourt Renee\u00a0Shaw Hughner and Ronald\u00a0J Kuntze. 1999. Lifestyle of the tight and frugal: Theory and measurement. Journal of consumer research 26 1 (1999) 85\u201398.","DOI":"10.1086\/209552"},{"key":"e_1_3_3_2_45_2","unstructured":"Jiwei Li Michel Galley Chris Brockett Georgios\u00a0P Spithourakis Jianfeng Gao and Bill Dolan. 2016. A persona-based neural conversation model. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1603.06155 (2016)."},{"key":"e_1_3_3_2_46_2","unstructured":"Lingyu Li Yixu Wang Haiquan Zhao Shuqi Kong Yan Teng Chunbo Li and Yingchun Wang. 2024. Reflection-Bench: probing AI intelligence with reflection. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2410.16270 (2024)."},{"key":"e_1_3_3_2_47_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.findings-acl.813"},{"key":"e_1_3_3_2_48_2","unstructured":"Xiao Liu Hao Yu Hanchen Zhang Yifan Xu Xuanyu Lei Hanyu Lai Yu Gu Hangliang Ding Kaiwen Men Kejuan Yang et\u00a0al. 2023. Agentbench: Evaluating llms as agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2308.03688 (2023)."},{"key":"e_1_3_3_2_49_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706599.3719729"},{"key":"e_1_3_3_2_50_2","doi-asserted-by":"crossref","unstructured":"Stephen Macedo. 2021. Populism localism and democratic citizenship. Philosophy & Social Criticism 47 4 (2021) 447\u2013476.","DOI":"10.1177\/01914537211009953"},{"key":"e_1_3_3_2_51_2","doi-asserted-by":"publisher","DOI":"10.1145\/302979.303127"},{"key":"e_1_3_3_2_52_2","doi-asserted-by":"crossref","unstructured":"Katja Mehlhorn Ben\u00a0R Newell Peter\u00a0M Todd Michael\u00a0D Lee Kate Morgan Victoria\u00a0A Braithwaite Daniel Hausmann Klaus Fiedler and Cleotilde Gonzalez. 2015. Unpacking the exploration\u2013exploitation tradeoff: a synthesis of human and animal literatures.Decision 2 3 (2015) 191.","DOI":"10.1037\/dec0000033"},{"key":"e_1_3_3_2_53_2","doi-asserted-by":"crossref","unstructured":"Matthew\u00a0L Meuter Amy\u00a0L Ostrom Robert\u00a0I Roundtree and Mary\u00a0Jo Bitner. 2000. Self-service technologies: understanding customer satisfaction with technology-based service encounters. Journal of marketing 64 3 (2000) 50\u201364.","DOI":"10.1509\/jmkg.64.3.50.18024"},{"key":"e_1_3_3_2_54_2","unstructured":"Xinyi Mou Xuanwen Ding Qi He Liang Wang Jingcong Liang Xinnong Zhang Libo Sun Jiayu Lin Jie Zhou Xuanjing Huang et\u00a0al. 2024. From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2412.03563 (2024)."},{"key":"e_1_3_3_2_55_2","unstructured":"Reiichiro Nakano Jacob Hilton Suchir Balaji Jeff Wu Long Ouyang Christina Kim Christopher Hesse Shantanu Jain Vineet Kosaraju William Saunders Xu Jiang Karl Cobbe Tyna Eloundou Gretchen Krueger Kevin Button Matthew Knight Benjamin Chess and John Schulman. 2022. WebGPT: Browser-assisted question-answering with human feedback. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2112.09332 (2022)."},{"key":"e_1_3_3_2_56_2","volume-title":"Advances in Neural Information Processing Systems","author":"Ouyang Long","year":"2022","unstructured":"Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et\u00a0al. 2022. Training language models to follow instructions with human feedback. In Advances in Neural Information Processing Systems."},{"key":"e_1_3_3_2_57_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606763"},{"key":"e_1_3_3_2_58_2","unstructured":"Zhiqi Peng Dmitry Namiot Nan Gao Saleema Amershi Gagan Bansal et\u00a0al. 2024. Challenges in Human-Agent Communication. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2412.10380 (2024)."},{"key":"e_1_3_3_2_59_2","doi-asserted-by":"crossref","unstructured":"Peter Pirolli and Stuart Card. 1999. Information foraging.Psychological review 106 4 (1999) 643.","DOI":"10.1037\/0033-295X.106.4.643"},{"key":"e_1_3_3_2_60_2","unstructured":"Zehan Qi Xiao Liu Iat\u00a0Long Iong Hanyu Lai Xueqiao Sun Wenyi Zhao Yu Yang Xinyue Yang Jiadai Sun Shuntian Yao et\u00a0al. 2024. Webrl: Training llm web agents via self-evolving online curriculum reinforcement learning. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2411.02337 (2024)."},{"key":"e_1_3_3_2_61_2","unstructured":"Bo Qiao Liqun Li Xu Zhang Shilin He Yu Kang Chaoyun Zhang Fangkai Yang Hang Dong Jue Zhang Lu Wang et\u00a0al. 2023. Taskweaver: A code-first agent framework. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2311.17541 (2023)."},{"key":"e_1_3_3_2_62_2","volume-title":"Advances in Neural Information Processing Systems","author":"Rafailov Rafael","year":"2023","unstructured":"Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Chelsea Finn, and Christopher\u00a0D Manning. 2023. Direct Preference Optimization: Your Language Model is Secretly a Reward Model. In Advances in Neural Information Processing Systems."},{"key":"e_1_3_3_2_63_2","doi-asserted-by":"crossref","unstructured":"Rafael Rafailov Archit Sharma Eric Mitchell Christopher\u00a0D Manning Stefano Ermon and Chelsea Finn. 2023. Direct preference optimization: Your language model is secretly a reward model. Advances in neural information processing systems 36 (2023) 53728\u201353741.","DOI":"10.52202\/075280-2338"},{"key":"e_1_3_3_2_64_2","unstructured":"Julian Rodemann Esteban\u00a0Garces Arias Christoph Luther Christoph Jansen and Thomas Augustin. 2025. A Statistical Case Against Empirical Human-AI Alignment. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2502.14581 (2025)."},{"key":"e_1_3_3_2_65_2","unstructured":"Vinay Samuel Henry\u00a0Peng Zou Yue Zhou Shreyas Chaudhari Ashwin Kalyan Tanmay Rajpurohit Ameet Deshpande Karthik Narasimhan and Vishvak Murahari. 2024. Personagym: Evaluating persona agents and llms. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2407.18416 (2024)."},{"key":"e_1_3_3_2_66_2","volume-title":"International Conference on Machine Learning","author":"Santurkar Shibani","year":"2023","unstructured":"Shibani Santurkar, Esin Durmus, Faisal Ladhak, Hongseok Lee, Percy Liang, Benjamin\u00a0Van Durme, and Dallas Card. 2023. Whose Opinions Do Language Models Reflect?. In International Conference on Machine Learning."},{"key":"e_1_3_3_2_67_2","doi-asserted-by":"crossref","unstructured":"Timo Schick Jane Dwivedi-Yu Roberto Dess\u00ec Roberta Raileanu Maria Lomeli Eric Hambro Luke Zettlemoyer Nicola Cancedda and Thomas Scialom. 2023. Toolformer: Language models can teach themselves to use tools. Advances in Neural Information Processing Systems 36 (2023) 68539\u201368551.","DOI":"10.52202\/075280-2997"},{"key":"e_1_3_3_2_68_2","unstructured":"Sander Schulhoff Michael Ilie Nishant Balepur Konstantine Kahadze Amanda Liu Chenglei Si Yinheng Li Aayush Gupta HyoJung Han Sevien Schulhoff et\u00a0al. 2025. The Prompt Report: A Systematic Survey of Prompt Engineering Techniques. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2406.06608 (2025). https:\/\/arxiv.org\/abs\/2406.06608"},{"key":"e_1_3_3_2_69_2","first-page":"1","volume-title":"Advances in experimental social psychology","author":"Schwartz Shalom\u00a0H","year":"1992","unstructured":"Shalom\u00a0H Schwartz. 1992. Universals in the content and structure of values: Theoretical advances and empirical tests in 20 countries. In Advances in experimental social psychology. Vol.\u00a025. Elsevier, 1\u201365."},{"key":"e_1_3_3_2_70_2","unstructured":"Shalom\u00a0H Schwartz et\u00a0al. 2006. Basic human values: An overview. (2006)."},{"key":"e_1_3_3_2_71_2","doi-asserted-by":"crossref","unstructured":"Omar Shaikh Shardul Sapkota Shan Rizvi Eric Horvitz Joon\u00a0Sung Park Diyi Yang and Michael\u00a0S Bernstein. 2025. Creating General User Models from Computer Use. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2505.10831 (2025).","DOI":"10.1145\/3746059.3747722"},{"key":"e_1_3_3_2_72_2","doi-asserted-by":"crossref","unstructured":"Hua Shen Nicholas Clark and Tanushree Mitra. 2025. Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2501.15463 (2025).","DOI":"10.18653\/v1\/2025.emnlp-main.154"},{"key":"e_1_3_3_2_73_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706599.3716291"},{"key":"e_1_3_3_2_74_2","unstructured":"Tianhao Shen Renren Jin Yufei Huang Chuang Liu Weilong Dong Zishan Guo Xinwei Wu Yan Liu and Deyi Xiong. 2023. Large language model alignment: A survey. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2309.15025 (2023)."},{"key":"e_1_3_3_2_75_2","doi-asserted-by":"crossref","unstructured":"Judith Simon Pak\u00a0Hang Wong and Gernot Rieder. 2020. Algorithmic bias and the Value Sensitive Design approach. Internet Policy Review 9 4 (2020) 1\u201316.","DOI":"10.14763\/2020.4.1534"},{"key":"e_1_3_3_2_76_2","unstructured":"Nicholas Sukiennik Chen Gao Fengli Xu and Yong Li. 2025. An evaluation of cultural value alignment in llm. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2504.08863 (2025)."},{"key":"e_1_3_3_2_77_2","doi-asserted-by":"publisher","DOI":"10.1145\/3708359.3712091"},{"key":"e_1_3_3_2_78_2","unstructured":"Jingyu Tang Chaoran Chen Jiawen Li Zhiping Zhang Bingcan Guo Ibrahim Khalilov Simret\u00a0Araya Gebreegziabher Bingsheng Yao Dakuo Wang Yanfang Ye et\u00a0al. 2025. Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2509.10723 (2025)."},{"key":"e_1_3_3_2_79_2","volume-title":"The Vegan Society","author":"Society The Vegan","year":"2025","unstructured":"The Vegan Society. 2025. The Vegan Society. https:\/\/www.vegansociety.com\/ Accessed: 2025-09-19."},{"key":"e_1_3_3_2_80_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-emnlp.969"},{"key":"e_1_3_3_2_81_2","unstructured":"Michael\u00a0A West and James\u00a0L Farr. 1989. Innovation at work: Psychological perspectives.Social behaviour (1989)."},{"key":"e_1_3_3_2_82_2","doi-asserted-by":"crossref","unstructured":"Tianbao Xie Danyang Zhang Jixuan Chen Xiaochuan Li Siheng Zhao Ruisheng Cao Toh\u00a0J Hua Zhoujun Cheng Dongchan Shin Fangyu Lei et\u00a0al. 2024. Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments. Advances in Neural Information Processing Systems 37 (2024) 52040\u201352094.","DOI":"10.52202\/079017-1650"},{"key":"e_1_3_3_2_83_2","unstructured":"Tianqi Xu Linyao Chen Dai-Jie Wu Yanjun Chen Zecheng Zhang Xiang Yao Zhiqiang Xie Yongchao Chen Shilong Liu Bochen Qian et\u00a0al. 2024. Crab: Cross-environment agent benchmark for multimodal language model agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2407.01511 (2024)."},{"key":"e_1_3_3_2_84_2","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599473"},{"key":"e_1_3_3_2_85_2","unstructured":"Deshraj Yadav Rishabh Jain Harsh Agrawal Prithvijit Chattopadhyay Taranjeet Singh Akash Jain Shiv\u00a0Baran Singh Stefan Lee and Dhruv Batra. 2019. Evalai: Towards better evaluation systems for ai agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1902.03570 (2019)."},{"key":"e_1_3_3_2_86_2","unstructured":"Laura Yale and Alladi Venkatesh. 1986. TOWARD THE CONSTRUCT CONVENIENCE IN CONSUMER RESEARCH.Advances in consumer research 13 1 (1986)."},{"key":"e_1_3_3_2_87_2","unstructured":"Yingxuan Yang Mulei Ma Yuxuan Huang Huacan Chai Chenyu Gong Haoran Geng Yuanjian Zhou Ying Wen Meng Fang Muhao Chen et\u00a0al. 2025. Agentic web: Weaving the next web with ai agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2507.21206 (2025)."},{"key":"e_1_3_3_2_88_2","unstructured":"Zonghan Yang An Liu Zijun Liu Kaiming Liu Fangzhou Xiong Yile Wang Zeyuan Yang Qingyuan Hu Xinrui Chen Zhenhe Zhang et\u00a0al. 2024. Towards unified alignment between agents humans and environment. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2402.07744 (2024)."},{"key":"e_1_3_3_2_89_2","unstructured":"Bingsheng Yao Jiaju Chen Chaoran Chen April Wang Toby Jia-jun Li and Dakuo Wang. 2025. Through the Lens of Human-Human Collaboration: A Configurable Research Platform for Exploring Human-Agent Collaboration. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2509.18008 (2025)."},{"key":"e_1_3_3_2_90_2","volume-title":"International Conference on Learning Representations (ICLR)","author":"Yao Shunyu","year":"2023","unstructured":"Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2023. React: Synergizing reasoning and acting in language models. In International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_3_2_91_2","unstructured":"Jiayi Ye Chaoran Chen Yue Huang Yanfang Ye Toby Jia-Jun Li and Xiangliang Zhang. 2025. My Favorite Streamer is an LLM: Discovering Bonding and Co-Creating in AI VTuber Fandom. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2509.10427 (2025)."},{"key":"e_1_3_3_2_92_2","unstructured":"Asaf Yehudai Lilach Eden Alan Li Guy Uziel Yilun Zhao Roy Bar-Haim Arman Cohan and Michal Shmueli-Scheuer. 2025. Survey on Evaluation of LLM-based Agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2503.16416 (2025)."},{"key":"e_1_3_3_2_93_2","volume-title":"Forty-first International Conference on Machine Learning","author":"Yuan Weizhe","year":"2024","unstructured":"Weizhe Yuan, Richard\u00a0Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, and Jason\u00a0E Weston. 2024. Self-rewarding language models. In Forty-first International Conference on Machine Learning."},{"key":"e_1_3_3_2_94_2","unstructured":"Weizhi Zhang Xinyang Zhang Chenwei Zhang Liangwei Yang Jingbo Shang Zhepei Wei Henry\u00a0Peng Zou Zijie Huang Zhengyang Wang Yifan Gao et\u00a0al. 2025. Personaagent: When large language model agents meet personalization at test time. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2506.06254 (2025)."},{"key":"e_1_3_3_2_95_2","unstructured":"Huaixiu\u00a0Steven Zheng Swaroop Mishra Hugh Zhang Xinyun Chen Minmin Chen Azade Nova Le Hou Heng-Tze Cheng Quoc\u00a0V Le Ed\u00a0H Chi et\u00a0al. 2024. Natural plan: Benchmarking llms on natural language planning. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2406.04520 (2024)."},{"key":"e_1_3_3_2_96_2","unstructured":"Shuyan Zhou Frank\u00a0F Xu Hao Zhu Xuhui Zhou Robert Lo Abishek Sridhar Xianyi Cheng Tianyue Ou Yonatan Bisk Daniel Fried et\u00a0al. 2023. Webarena: A realistic web environment for building autonomous agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2307.13854 (2023)."},{"key":"e_1_3_3_2_97_2","unstructured":"Mingchen Zhuge Changsheng Zhao Dylan Ashley Wenyi Wang Dmitrii Khizbullin Yunyang Xiong Zechun Liu Ernie Chang Raghuraman Krishnamoorthi Yuandong Tian et\u00a0al. 2024. Agent-as-a-judge: Evaluate agents with agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2410.10934 (2024)."}],"event":{"name":"IUI '26: 31st International Conference on Intelligent User Interfaces","location":"Paphos Cyprus","acronym":"IUI '26","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGAI ACM Special Interest Group on Artificial Intelligence"]},"container-title":["Proceedings of the 31st International Conference on Intelligent User Interfaces"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3742413.3789219","content-type":"text\/html","content-version":"vor","intended-application":"syndication"}],"deposited":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T13:04:05Z","timestamp":1773493445000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3742413.3789219"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,22]]},"references-count":96,"alternative-id":["10.1145\/3742413.3789219","10.1145\/3742413"],"URL":"https:\/\/doi.org\/10.1145\/3742413.3789219","relation":{},"subject":[],"published":{"date-parts":[[2026,3,22]]},"assertion":[{"value":"2026-03-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}