{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T17:22:15Z","timestamp":1773508935859,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":67,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,3,23]]},"DOI":"10.1145\/3742413.3789083","type":"proceedings-article","created":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T11:32:24Z","timestamp":1772537544000},"page":"885-908","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["ReUseIt: Synthesizing Reusable AI Agent Workflows for Web Automation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6742-2908","authenticated-orcid":false,"given":"Yimeng","family":"Liu","sequence":"first","affiliation":[{"name":"Computer Science, University of California, Santa Barbara, Santa Barbara, California, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8154-8518","authenticated-orcid":false,"given":"Misha","family":"Sra","sequence":"additional","affiliation":[{"name":"Computer Science, University of California, Santa Barbara, Santa Barbara, California, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1843-589X","authenticated-orcid":false,"given":"Jeevana Priya","family":"Inala","sequence":"additional","affiliation":[{"name":"Microsoft Research, Redmond, Washington, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5933-6620","authenticated-orcid":false,"given":"Chenglong","family":"Wang","sequence":"additional","affiliation":[{"name":"Microsoft Research, Redmond, Washington, USA"}]}],"member":"320","published-online":{"date-parts":[[2026,3,22]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"crossref","unstructured":"Junkang An and Inwhee Joe. 2022. Attention map-guided visual explanations for deep neural networks. Applied Sciences 12 8 (2022) 3846.","DOI":"10.3390\/app12083846"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"crossref","unstructured":"Aorigele Bao and Yi Zeng. 2024. Understanding the dilemma of explainable artificial intelligence: a proposal for a ritual dialog framework. Humanities and Social Sciences Communications 11 1 (2024) 1\u20139.","DOI":"10.1057\/s41599-024-02759-2"},{"key":"e_1_3_3_2_4_2","volume-title":"When AI \u2018Lies,\u2019 Trust and Guardrails Are Even More Critical","author":"Berkowitz Dave","year":"2025","unstructured":"Dave Berkowitz. 2025. When AI \u2018Lies,\u2019 Trust and Guardrails Are Even More Critical. Salesforce News and Insights. https:\/\/www.salesforce.com\/news\/stories\/does-ai-lie\/"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"crossref","unstructured":"Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3 2 (2006) 77\u2013101.","DOI":"10.1191\/1478088706qp063oa"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1037\/13620-004"},{"key":"e_1_3_3_2_7_2","volume-title":"Intelligent Assistants Have Poor Usability: A User Study of Alexa, Google Assistant, and Siri","author":"Budiu Raluca","year":"2018","unstructured":"Raluca Budiu and Page Laubheimer. 2018. Intelligent Assistants Have Poor Usability: A User Study of Alexa, Google Assistant, and Siri. nngroup.com. https:\/\/www.nngroup.com\/articles\/intelligent-assistant-usability\/"},{"key":"e_1_3_3_2_8_2","unstructured":"Chaoran Chen Zhiping Zhang Ibrahim Khalilov Bingcan Guo Simret\u00a0A Gebreegziabher Yanfang Ye Ziang Xiao Yaxing Yao Tianshi Li and Toby Jia-Jun Li. 2025. Toward a human-centered evaluation framework for trustworthy llm-powered gui agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2504.17934 (2025)."},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606720"},{"key":"e_1_3_3_2_10_2","unstructured":"Mingkai Deng Jinyu Hou Yilin Shen Hongxia Jin Graham Neubig Zhiting Hu and Eric Xing. 2025. SimuRA: Towards General Goal-Oriented Agent via Simulative Reasoning Architecture with LLM-Based World Model. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2507.23773 (2025)."},{"key":"e_1_3_3_2_11_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_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/3519939.3523711"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706598.3713581"},{"key":"e_1_3_3_2_14_2","volume-title":"Designing AI User Interfaces That Foster Trust and Transparency","author":"Eriksen Magnus","year":"2025","unstructured":"Magnus Eriksen. 2025. Designing AI User Interfaces That Foster Trust and Transparency. UXMatters. https:\/\/www.uxmatters.com\/mt\/archives\/2025\/04\/designing-ai-user-interfaces-that-foster-trust-and-transparency.php"},{"key":"e_1_3_3_2_15_2","unstructured":"KJ Feng Kevin Pu Matt Latzke Tal August Pao Siangliulue Jonathan Bragg Daniel\u00a0S Weld Amy\u00a0X Zhang and Joseph\u00a0Chee Chang. 2024. Cocoa: Co-planning and co-execution with ai agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2412.10999 (2024)."},{"key":"e_1_3_3_2_16_2","unstructured":"Chao Hao Shuai Wang and Kaiwen Zhou. 2025. Uncertainty-aware gui agent: Adaptive perception through component recommendation and human-in-the-loop refinement. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2508.04025 (2025)."},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706598.3713218"},{"key":"e_1_3_3_2_18_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_19_2","volume-title":"Agentic AI vs. Copilots: Why Perfecto Redefines Test Automation","author":"Jackson Don","year":"2025","unstructured":"Don Jackson. 2025. Agentic AI vs. Copilots: Why Perfecto Redefines Test Automation. Perfecto. https:\/\/www.perfecto.io\/blog\/agentic-ai-test-automation"},{"key":"e_1_3_3_2_20_2","volume-title":"Fostering User Trust in AI: Insights from a UX perspective","author":"Kassick Amanda","year":"2024","unstructured":"Amanda Kassick. 2024. Fostering User Trust in AI: Insights from a UX perspective. Ascend UX Blog. https:\/\/pros.com\/ascend\/fostering-user-trust-in-ai-insights-from-a-ux-perspective\/"},{"key":"e_1_3_3_2_21_2","unstructured":"Benjamin Krarup Michael Cashmore Daniele Magazzeni and Tim Miller. 2019. Towards model-based contrastive explanations for explainable planning. ICAPS XAIP (2019)."},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"crossref","unstructured":"Christoph Kreiterling. 2025. Design Principles for Explainable AI in Finance: A Multi-Stakeholder Framework. (2025).","DOI":"10.2139\/ssrn.5427074"},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/VL\/HCC51201.2021.9576476"},{"key":"e_1_3_3_2_24_2","volume-title":"Balance agent control with agency\u2014Gain control with LangGraph to design agents that reliably handle complex tasks.","year":"2025","unstructured":"LangGraph. 2025. Balance agent control with agency\u2014Gain control with LangGraph to design agents that reliably handle complex tasks. LangGraph. https:\/\/www.langchain.com\/langgraph"},{"key":"e_1_3_3_2_25_2","volume-title":"The fundamental limitations of AI agent frameworks expose a stark reality gap","author":"Ledel Kris","year":"2025","unstructured":"Kris Ledel. 2025. The fundamental limitations of AI agent frameworks expose a stark reality gap. Medium. https:\/\/medium.com\/@thekrisledel\/the-fundamental-limitations-of-ai-agent-frameworks-expose-a-stark-reality-gap-7571affb56e5"},{"key":"e_1_3_3_2_26_2","unstructured":"Ido Levy Ben Wiesel Sami Marreed Alon Oved Avi Yaeli and Segev Shlomov. 2024. St-webagentbench: A benchmark for evaluating safety and trustworthiness in web agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2410.06703 (2024)."},{"key":"e_1_3_3_2_27_2","unstructured":"Patrick Lewis Ethan Perez Aleksandra Piktus Fabio Petroni Vladimir Karpukhin Naman Goyal Heinrich K\u00fcttler Mike Lewis Wen-tau Yih Tim Rockt\u00e4schel et\u00a0al. 2020. Retrieval-augmented generation for knowledge-intensive nlp tasks. Advances in neural information processing systems 33 (2020) 9459\u20139474."},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"crossref","unstructured":"Hongxin Li Jingran Su Yuntao Chen Qing Li and Zhao-Xiang Zhang. 2023. Sheetcopilot: Bringing software productivity to the next level through large language models. Advances in Neural Information Processing Systems 36 (2023) 4952\u20134984.","DOI":"10.52202\/075280-0220"},{"key":"e_1_3_3_2_29_2","unstructured":"Zelong Li Shuyuan Xu Kai Mei Wenyue Hua Balaji Rama Om Raheja Hao Wang He Zhu and Yongfeng Zhang. 2024. Autoflow: Automated workflow generation for large language model agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2407.12821 (2024)."},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"crossref","unstructured":"Jenny\u00a0T Liang Aayush Kumar Yasharth Bajpai Sumit Gulwani Vu Le Chris Parnin Arjun Radhakrishna Ashish Tiwari Emerson Murphy-Hill and Gustavo Soares. 2025. Tabletalk: Scaffolding spreadsheet development with a language agent. ACM Transactions on Computer-Human Interaction (2025).","DOI":"10.1145\/3765286"},{"key":"e_1_3_3_2_31_2","unstructured":"Henry Lieberman and Ted Selker. 2003. Agents for the user interface. Handbook of agent technology (2003) 1\u201321."},{"key":"e_1_3_3_2_32_2","doi-asserted-by":"crossref","unstructured":"Justin Lubin Parker Ziegler and Sarah\u00a0E Chasins. 2025. Programming by Navigation. Proceedings of the ACM on Programming Languages 9 PLDI (2025) 447\u2013474.","DOI":"10.1145\/3729264"},{"key":"e_1_3_3_2_33_2","volume-title":"Playwright enables reliable end-to-end testing for modern web apps.","year":"2025","unstructured":"Microsoft. 2025. Playwright enables reliable end-to-end testing for modern web apps. Microsoft. https:\/\/playwright.dev\/"},{"key":"e_1_3_3_2_34_2","volume-title":"User experience guidelines for errors","year":"2025","unstructured":"Microsoft. 2025. User experience guidelines for errors. Microsoft. https:\/\/learn.microsoft.com\/en-us\/dynamics365\/business-central\/dev-itpro\/developer\/devenv-error-handling-guidelines"},{"key":"e_1_3_3_2_35_2","volume-title":"How to Write an Effective Error Message","author":"Minhas Saadia","year":"2024","unstructured":"Saadia Minhas. 2024. How to Write an Effective Error Message. Builtin.com. https:\/\/builtin.com\/articles\/error-message"},{"key":"e_1_3_3_2_36_2","volume-title":"Magentic-UI","author":"Mozannar Hussein","year":"2025","unstructured":"Hussein Mozannar, Gagan Bansal, Cheng Tan, Adam Fourney, Victor Dibia, Jingya Chen, Jack Gerrits, Tyler Payne, Matheus\u00a0Kunzler Maldaner, Madeleine Grunde-McLaughlin, et\u00a0al. 2025. Magentic-UI. GitHub. https:\/\/github.com\/microsoft\/magentic-ui\/blob\/main\/src\/magentic_ui\/learning\/learner.py"},{"key":"e_1_3_3_2_37_2","unstructured":"Hussein Mozannar Gagan Bansal Cheng Tan Adam Fourney Victor Dibia Jingya Chen Jack Gerrits Tyler Payne Matheus\u00a0Kunzler Maldaner Madeleine Grunde-McLaughlin et\u00a0al. 2025. Magentic-UI: Towards Human-in-the-loop Agentic Systems. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2507.22358 (2025)."},{"key":"e_1_3_3_2_38_2","unstructured":"Shane\u00a0T Mueller Elizabeth\u00a0S Veinott Robert\u00a0R Hoffman Gary Klein Lamia Alam Tauseef Mamun and William\u00a0J Clancey. 2021. Principles of explanation in human-AI systems. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2102.04972 (2021)."},{"key":"e_1_3_3_2_39_2","volume-title":"Progressive Disclosure","author":"Nielsen Jakob","year":"2006","unstructured":"Jakob Nielsen. 2006. Progressive Disclosure. Nngroup.com. https:\/\/www.nngroup.com\/articles\/progressive-disclosure\/"},{"key":"e_1_3_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.1145\/3711896.3736555"},{"key":"e_1_3_3_2_41_2","volume-title":"WebGPT: Improving the factual accuracy of language models through web browsing","year":"2021","unstructured":"OpenAI. 2021. WebGPT: Improving the factual accuracy of language models through web browsing. OpenAI. https:\/\/openai.com\/index\/webgpt\/"},{"key":"e_1_3_3_2_42_2","volume-title":"GPT-4o","year":"2024","unstructured":"OpenAI. 2024. GPT-4o. OpenAI. https:\/\/openai.com\/index\/hello-gpt-4o\/"},{"key":"e_1_3_3_2_43_2","volume-title":"BrowseComp: a benchmark for browsing agents","year":"2025","unstructured":"OpenAI. 2025. BrowseComp: a benchmark for browsing agents. OpenAI. https:\/\/openai.com\/index\/browsecomp\/"},{"key":"e_1_3_3_2_44_2","volume-title":"Introducing Operator","year":"2025","unstructured":"OpenAI. 2025. Introducing Operator. OpenAI. https:\/\/medium.com\/@uzair.dev\/towards-multi-agent-autogpt-3a45890a7f3d"},{"key":"e_1_3_3_2_45_2","unstructured":"Yichen Pan Dehan Kong Sida Zhou Cheng Cui Yifei Leng Bing Jiang Hangyu Liu Yanyi Shang Shuyan Zhou Tongshuang Wu et\u00a0al. 2024. Webcanvas: Benchmarking web agents in online environments. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2406.12373 (2024)."},{"key":"e_1_3_3_2_46_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606822"},{"key":"e_1_3_3_2_47_2","unstructured":"Shuofei Qiao Runnan Fang Zhisong Qiu Xiaobin Wang Ningyu Zhang Yong Jiang Pengjun Xie Fei Huang and Huajun Chen. 2024. Benchmarking agentic workflow generation. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2410.07869 (2024)."},{"key":"e_1_3_3_2_48_2","doi-asserted-by":"crossref","unstructured":"Avi Rosenfeld and Ariella Richardson. 2019. Explainability in human\u2013agent systems. Autonomous agents and multi-agent systems 33 6 (2019) 673\u2013705.","DOI":"10.1007\/s10458-019-09408-y"},{"key":"e_1_3_3_2_49_2","unstructured":"Haiyang Shen Yue Li Desong Meng Dongqi Cai Sheng Qi Li Zhang Mengwei Xu and Yun Ma. 2024. Shortcutsbench: A large-scale real-world benchmark for API-based agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2407.00132 (2024)."},{"key":"e_1_3_3_2_50_2","volume-title":"Web Bench - A new way to compare AI Browser Agents","author":"Singh Suchintan","year":"2025","unstructured":"Suchintan Singh. 2025. Web Bench - A new way to compare AI Browser Agents. Skyvern. https:\/\/blog.skyvern.com\/web-bench-a-new-way-to-compare-ai-browser-agents\/"},{"key":"e_1_3_3_2_51_2","unstructured":"Yixiao Song Katherine Thai Chau\u00a0Minh Pham Yapei Chang Mazin Nadaf and Mohit Iyyer. 2025. Bearcubs: A benchmark for computer-using web agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2503.07919 (2025)."},{"key":"e_1_3_3_2_52_2","doi-asserted-by":"crossref","unstructured":"Arturo\u00a0Daniel Sosa-Ceron Hugo\u00a0Gustavo Gonzalez-Hernandez and Jorge\u00a0Antonio Reyes-Avenda\u00f1o. 2022. Learning from demonstrations in human\u2013robot collaborative scenarios: A survey. Robotics 11 6 (2022) 126.","DOI":"10.3390\/robotics11060126"},{"key":"e_1_3_3_2_53_2","unstructured":"Fei Tang Haolei Xu Hang Zhang Siqi Chen Xingyu Wu Yongliang Shen Wenqi Zhang Guiyang Hou Zeqi Tan Yuchen Yan et\u00a0al. 2025. A survey on (m) llm-based gui agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2504.13865 (2025)."},{"key":"e_1_3_3_2_54_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_55_2","volume-title":"Towards Multi-Agent AutoGPT","author":"Uzair Muhammad","year":"2023","unstructured":"Muhammad Uzair. 2023. Towards Multi-Agent AutoGPT. Medium. https:\/\/medium.com\/@uzair.dev\/towards-multi-agent-autogpt-3a45890a7f3d"},{"key":"e_1_3_3_2_56_2","unstructured":"Guanzhi Wang Yuqi Xie Yunfan Jiang Ajay Mandlekar Chaowei Xiao Yuke Zhu Linxi Fan and Anima Anandkumar. 2023. Voyager: An open-ended embodied agent with large language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2305.16291 (2023)."},{"key":"e_1_3_3_2_57_2","unstructured":"Junyang Wang Haiyang Xu Jiabo Ye Ming Yan Weizhou Shen Ji Zhang Fei Huang and Jitao Sang. 2024. Mobile-agent: Autonomous multi-modal mobile device agent with visual perception. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2401.16158 (2024)."},{"key":"e_1_3_3_2_58_2","unstructured":"Zora\u00a0Zhiruo Wang Jiayuan Mao Daniel Fried and Graham Neubig. 2024. Agent workflow memory. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2409.07429 (2024)."},{"key":"e_1_3_3_2_59_2","unstructured":"Zhiyong Wu Chengcheng Han Zichen Ding Zhenmin Weng Zhoumianze Liu Shunyu Yao Tao Yu and Lingpeng Kong. 2024. Os-copilot: Towards generalist computer agents with self-improvement. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2402.07456 (2024)."},{"key":"e_1_3_3_2_60_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_61_2","unstructured":"Frank\u00a0F. Xu Yufan Song Boxuan Li Yuxuan Tang Kritanjali Jain Mengxue Bao Zora\u00a0Z. Wang Xuhui Zhou Zhitong Guo Murong Cao Mingyang Yang Hao\u00a0Yang Lu Amaad Martin Zhe Su Leander Maben Raj Mehta Wayne Chi Lawrence Jang Yiqing Xie Shuyan Zhou and Graham Neubig. 2025. TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks. arxiv:https:\/\/arXiv.org\/abs\/2412.14161\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2412.14161"},{"key":"e_1_3_3_2_62_2","unstructured":"Tianci Xue Weijian Qi Tianneng Shi Chan\u00a0Hee Song Boyu Gou Dawn Song Huan Sun and Yu Su. [n. d.]. An illusion of progress? assessing the current state of web agents 2025. URL https:\/\/arxiv. org\/abs\/2504.01382 ([n. d.])."},{"key":"e_1_3_3_2_63_2","unstructured":"Ke Yang Yao Liu Sapana Chaudhary Rasool Fakoor Pratik Chaudhari George Karypis and Huzefa Rangwala. 2024. Agentoccam: A simple yet strong baseline for llm-based web agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2410.13825 (2024)."},{"key":"e_1_3_3_2_64_2","unstructured":"Zhen Yang Zi-Yi Dou Di Feng Forrest Huang Anh Nguyen Keen You Omar Attia Yuhao Yang Michael Feng Haotian Zhang et\u00a0al. 2025. Ferret-ui lite: Lessons from building small on-device gui agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2509.26539 (2025)."},{"key":"e_1_3_3_2_65_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICAIBD64986.2025.11082076"},{"key":"e_1_3_3_2_66_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706598.3713600"},{"key":"e_1_3_3_2_67_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_68_2","volume-title":"Designing Trustworthy AI Agents: 30+ UX Principles that Turn \u201cWow\u201d into Daily Habit","author":"Zhu Aaron","year":"2025","unstructured":"Aaron Zhu. 2025. Designing Trustworthy AI Agents: 30+ UX Principles that Turn \u201cWow\u201d into Daily Habit. Medium. https:\/\/medium.com\/techacc\/ai-agent-ux-design-principles-223da9f4d7f2"}],"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":[],"deposited":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T12:58:56Z","timestamp":1773493136000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3742413.3789083"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,22]]},"references-count":67,"alternative-id":["10.1145\/3742413.3789083","10.1145\/3742413"],"URL":"https:\/\/doi.org\/10.1145\/3742413.3789083","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"}}]}}