{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T21:48:52Z","timestamp":1776116932058,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":39,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,18]]},"DOI":"10.1145\/3715070.3749256","type":"proceedings-article","created":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T05:55:41Z","timestamp":1760680541000},"page":"379-384","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Exploring the Impact of Process Transparency on User Experience in AI Design Agents"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-0364-3911","authenticated-orcid":false,"given":"Ailin","family":"Yu","sequence":"first","affiliation":[{"name":"Alibaba Cloud Computing, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2839-8224","authenticated-orcid":false,"given":"Zehui","family":"Jin","sequence":"additional","affiliation":[{"name":"Alibaba Cloud Computing, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-9887-9363","authenticated-orcid":false,"given":"Yan","family":"Zhu","sequence":"additional","affiliation":[{"name":"Alibaba Cloud Computing, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-9352-8564","authenticated-orcid":false,"given":"Yue","family":"He","sequence":"additional","affiliation":[{"name":"Alibaba Cloud Computing, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3624-2094","authenticated-orcid":false,"given":"Tao","family":"Yang","sequence":"additional","affiliation":[{"name":"Alibaba Cloud Computing, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9377-8928","authenticated-orcid":false,"given":"Luping","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Cloud Computing, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,10,17]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"Deepak\u00a0Bhaskar Acharya Karthigeyan Kuppan and B Divya. 2025. Agentic AI: Autonomous Intelligence for Complex Goals\u2013A Comprehensive Survey. IEEE Access (2025).","DOI":"10.1109\/ACCESS.2025.3532853"},{"key":"e_1_3_3_1_3_2","unstructured":"Ahsan Ali and Zhao Feng. 2023. Layered Chain-of-Thought Prompting: A Step Towards More Transparent AI Models. (2023)."},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300233"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-02217-3"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1145\/3591196.3593515"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"Chhavi Chawla Siddharth Chatterjee Sanketh\u00a0Siddanna Gadadinni Pulkit Verma and Sourav Banerjee. 2024. Agentic AI: The building blocks of sophisticated AI business applications. Journal of AI Robotics & Workplace Automation 3 3 (2024) 1\u201315.","DOI":"10.69554\/XEHZ1946"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"crossref","unstructured":"Jessie\u00a0YC Chen Shan\u00a0G Lakhmani Kimberly Stowers Anthony\u00a0R Selkowitz Julia\u00a0L Wright and Michael Barnes. 2018. Situation awareness-based agent transparency and human-autonomy teaming effectiveness. Theoretical issues in ergonomics science 19 3 (2018) 259\u2013282.","DOI":"10.1080\/1463922X.2017.1315750"},{"key":"e_1_3_3_1_9_2","volume-title":"Designing and conducting mixed methods research","author":"Creswell John\u00a0W","year":"2017","unstructured":"John\u00a0W Creswell and Vicki L\u00a0Plano Clark. 2017. Designing and conducting mixed methods research. Sage publications."},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"Stephan Diederich Alfred\u00a0Benedikt Brendel Stefan Morana and Lutz Kolbe. 2022. On the design of and interaction with conversational agents: An organizing and assessing review of human-computer interaction research. Journal of the Association for Information Systems 23 1 (2022) 96\u2013138.","DOI":"10.17705\/1jais.00724"},{"key":"e_1_3_3_1_11_2","unstructured":"Zane Durante Qiuyuan Huang Naoki Wake Ran Gong Jae\u00a0Sung Park Bidipta Sarkar Rohan Taori Yusuke Noda Demetri Terzopoulos Yejin Choi et\u00a0al. 2024. Agent ai: Surveying the horizons of multimodal interaction. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2401.03568 (2024)."},{"key":"e_1_3_3_1_12_2","volume-title":"Introducing Figma Make: A new way to test, edit, and prompt designs","year":"2025","unstructured":"Figma 2025. Introducing Figma Make: A new way to test, edit, and prompt designs. https:\/\/www.figma.com\/blog\/introducing-figma-make\/"},{"key":"e_1_3_3_1_13_2","unstructured":"Kraig Finstad. 2010. Response interpolation and scale sensitivity: Evidence against 5-point scales. Journal of usability studies 5 3 (2010) 104\u2013110."},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"crossref","unstructured":"David Gunning and David Aha. 2019. DARPA\u2019s explainable artificial intelligence (XAI) program. AI magazine 40 2 (2019) 44\u201358.","DOI":"10.1609\/aimag.v40i2.2850"},{"key":"e_1_3_3_1_15_2","unstructured":"Ziyu Guo Renrui Zhang Chengzhuo Tong Zhizheng Zhao Peng Gao Hongsheng Li and Pheng-Ann Heng. 2025. Can We Generate Images with CoT? Let\u2019s Verify and Reinforce Image Generation Step by Step. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2501.13926 (2025)."},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Sage Kelly Sherrie-Anne Kaye and Oscar Oviedo-Trespalacios. 2023. What factors contribute to the acceptance of artificial intelligence? A systematic review. Telematics and Informatics 77 (2023) 101925.","DOI":"10.1016\/j.tele.2022.101925"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"Soomin Kim Jinsu Eun Changhoon Oh and Joonhwan Lee. 2025. \u201cJourney of finding the best query\u201d: Understanding the user experience of AI image generation system. International Journal of Human\u2013Computer Interaction 41 2 (2025) 951\u2013969.","DOI":"10.1080\/10447318.2024.2307670"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"Tianyi Li Mihaela Vorvoreanu Derek DeBellis and Saleema Amershi. 2023. Assessing human-AI interaction early through factorial surveys: a study on the guidelines for human-AI interaction. ACM Transactions on Computer-Human Interaction 30 5 (2023) 1\u201345.","DOI":"10.1145\/3511605"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580652"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/1518701.1519023"},{"key":"e_1_3_3_1_21_2","volume-title":"Transform prompts into masterpieces with Lovart, the revolutionary AI design agent.","year":"2025","unstructured":"Lovart 2025. Transform prompts into masterpieces with Lovart, the revolutionary AI design agent.https:\/\/www.lovart.ai\/"},{"key":"e_1_3_3_1_22_2","unstructured":"Zhenyu Pan Haozheng Luo Manling Li and Han Liu. 2024. Chain-of-action: Faithful and multimodal question answering through large language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2403.17359 (2024)."},{"key":"e_1_3_3_1_23_2","unstructured":"Kaushikkumar Patel Divya Beeram Prashanthi Ramamurthy Prerak Garg and Sandeep Kumar. 2024. Ai-enhanced design: revolutionizing methodologies and workflows. Development (IJAIRD) 2 1 (2024) 135\u2013157."},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"crossref","unstructured":"Andrew Pearson. 2023. The rise of CreAltives: Using AI to enable and speed up the creative process. Journal of AI Robotics & Workplace Automation 2 2 (2023) 101\u2013114.","DOI":"10.69554\/WLDX9074"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"crossref","unstructured":"Carolyn\u00a0C Preston and Andrew\u00a0M Colman. 2000. Optimal number of response categories in rating scales: reliability validity discriminating power and respondent preferences. Acta psychologica 104 1 (2000) 1\u201315.","DOI":"10.1016\/S0001-6918(99)00050-5"},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"crossref","unstructured":"Yao Rong Tobias Leemann Thai-Trang Nguyen Lisa Fiedler Peizhu Qian Vaibhav Unhelkar Tina Seidel Gjergji Kasneci and Enkelejda Kasneci. 2023. Towards human-centered explainable ai: A survey of user studies for model explanations. IEEE transactions on pattern analysis and machine intelligence 46 4 (2023) 2104\u20132122.","DOI":"10.1109\/TPAMI.2023.3331846"},{"key":"e_1_3_3_1_27_2","unstructured":"Ketan\u00a0Suhaas Saichandran Xavier Thomas Prakhar Kaushik and Deepti Ghadiyaram. 2025. Progressive Prompt Detailing for Improved Alignment in Text-to-Image Generative Models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2503.17794 (2025)."},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"crossref","unstructured":"Sakib Shahriar Brady\u00a0D Lund Nishith\u00a0Reddy Mannuru Muhammad\u00a0Arbab Arshad Kadhim Hayawi Ravi Varma\u00a0Kumar Bevara Aashrith Mannuru and Laiba Batool. 2024. Putting gpt-4o to the sword: A comprehensive evaluation of language vision speech and multimodal proficiency. Applied Sciences 14 17 (2024) 7782.","DOI":"10.3390\/app14177782"},{"key":"e_1_3_3_1_29_2","unstructured":"Yonadav Shavit Sandhini Agarwal Miles Brundage Steven Adler Cullen O\u2019Keefe Rosie Campbell Teddy Lee Pamela Mishkin Tyna Eloundou Alan Hickey et\u00a0al. 2023. Practices for governing agentic AI systems. Research Paper OpenAI (2023)."},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1145\/3678884.3681890"},{"key":"e_1_3_3_1_31_2","unstructured":"Gemini Team Rohan Anil Sebastian Borgeaud Jean-Baptiste Alayrac Jiahui Yu Radu Soricut Johan Schalkwyk Andrew\u00a0M Dai Anja Hauth Katie Millican et\u00a0al. 2023. Gemini: a family of highly capable multimodal models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2312.11805 (2023)."},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"crossref","unstructured":"Eric\u00a0S Vorm and David\u00a0JY Combs. 2022. Integrating transparency trust and acceptance: The intelligent systems technology acceptance model (ISTAM). International Journal of Human\u2013Computer Interaction 38 18-20 (2022) 1828\u20131845.","DOI":"10.1080\/10447318.2022.2070107"},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706599.3719941"},{"key":"e_1_3_3_1_34_2","unstructured":"Jason Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Fei Xia Ed Chi Quoc\u00a0V Le Denny Zhou et\u00a0al. 2022. Chain-of-thought prompting elicits reasoning in large language models. Advances in neural information processing systems 35 (2022) 24824\u201324837."},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"crossref","unstructured":"Heather\u00a0M Wojton Daniel Porter Stephanie T.\u00a0Lane Chad Bieber and Poornima Madhavan. 2020. Initial validation of the trust of automated systems test (TOAST). The Journal of social psychology 160 6 (2020) 735\u2013750.","DOI":"10.1080\/00224545.2020.1749020"},{"key":"e_1_3_3_1_36_2","doi-asserted-by":"crossref","unstructured":"Wentao Wu Ben Zhang Shuting Li and Hehai Liu. 2022. Exploring factors of the willingness to accept AI-assisted learning environments: an empirical investigation based on the UTAUT model and perceived risk theory. Frontiers in Psychology 13 (2022) 870777.","DOI":"10.3389\/fpsyg.2022.870777"},{"key":"e_1_3_3_1_37_2","doi-asserted-by":"crossref","unstructured":"Wei Xu Marvin\u00a0J Dainoff Liezhong Ge and Zaifeng Gao. 2023. Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AI. International Journal of Human\u2013Computer Interaction 39 3 (2023) 494\u2013518.","DOI":"10.1080\/10447318.2022.2041900"},{"key":"e_1_3_3_1_38_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376301"},{"key":"e_1_3_3_1_39_2","doi-asserted-by":"crossref","unstructured":"Zhibin Zhou Zhuoshu Li Yuyang Zhang and Lingyun Sun. 2022. Transparent-AI blueprint: Developing a conceptual tool to support the design of transparent AI agents. International Journal of Human\u2013Computer Interaction 38 18-20 (2022) 1846\u20131873.","DOI":"10.1080\/10447318.2022.2093773"},{"key":"e_1_3_3_1_40_2","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2018.8490433"}],"event":{"name":"CSCW Companion '25: Companion of the Computer-Supported Cooperative Work and Social Computing","location":"Bergen Norway","acronym":"CSCW Companion '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Companion Publication of the 2025 Conference on Computer-Supported Cooperative Work and Social Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3715070.3749256","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T17:47:05Z","timestamp":1767980825000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3715070.3749256"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,17]]},"references-count":39,"alternative-id":["10.1145\/3715070.3749256","10.1145\/3715070"],"URL":"https:\/\/doi.org\/10.1145\/3715070.3749256","relation":{},"subject":[],"published":{"date-parts":[[2025,10,17]]},"assertion":[{"value":"2025-10-17","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}