{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T03:49:07Z","timestamp":1783136947646,"version":"3.54.6"},"publisher-location":"New York, NY, USA","reference-count":119,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T00:00:00Z","timestamp":1745539200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,4,26]]},"DOI":"10.1145\/3706598.3713139","type":"proceedings-article","created":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T04:24:56Z","timestamp":1745468696000},"page":"1-22","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Canvil: Designerly Adaptation for LLM-Powered User Experiences"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2453-6315","authenticated-orcid":false,"given":"K. J. Kevin","family":"Feng","sequence":"first","affiliation":[{"name":"Human Centered Design &amp; Engineering, University of Washington, Seattle, Washington, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4543-7196","authenticated-orcid":false,"given":"Q. Vera","family":"Liao","sequence":"additional","affiliation":[{"name":"Microsoft Research, Montreal, Quebec, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3368-0180","authenticated-orcid":false,"given":"Ziang","family":"Xiao","sequence":"additional","affiliation":[{"name":"Computer Science, Johns Hopkins University, Baltimore, Maryland, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7807-2018","authenticated-orcid":false,"given":"Jennifer","family":"Wortman Vaughan","sequence":"additional","affiliation":[{"name":"Microsoft Research, New York, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9462-9835","authenticated-orcid":false,"given":"Amy X.","family":"Zhang","sequence":"additional","affiliation":[{"name":"CSE, University of Washington, Seattle, Washington, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5882-828X","authenticated-orcid":false,"given":"David W.","family":"McDonald","sequence":"additional","affiliation":[{"name":"Human Centered Design &amp; Engineering, University of Washington, Seattle, Washington, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,4,25]]},"reference":[{"key":"e_1_3_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702509"},{"key":"e_1_3_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606719"},{"key":"e_1_3_3_3_4_2","unstructured":"Anthropic. 2024. System prompts. https:\/\/docs.anthropic.com\/en\/docs\/system-prompts."},{"key":"e_1_3_3_3_5_2","unstructured":"Apple. 2024. Machine Learning\u2014Human Interface Guidelines. https:\/\/developer.apple.com\/design\/human-interface-guidelines\/technologies\/machine-learning\/introduction."},{"key":"e_1_3_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642016"},{"key":"e_1_3_3_3_7_2","unstructured":"Yuntao Bai Saurav Kadavath Sandipan Kundu Amanda Askell Jackson Kernion Andy Jones Anna Chen Anna Goldie Azalia Mirhoseini Cameron McKinnon et\u00a0al. 2022. Constitutional ai: Harmlessness from ai feedback. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2212.08073 (2022)."},{"key":"e_1_3_3_3_8_2","unstructured":"Jonathan Ball. 2005. The Double Diamond: A universally accepted depiction of the design process. https:\/\/www.designcouncil.org.uk\/news-opinion\/double-diamond-universally-accepted-depiction-design-process."},{"key":"e_1_3_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3502102"},{"key":"e_1_3_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445481"},{"key":"e_1_3_3_3_11_2","doi-asserted-by":"crossref","unstructured":"Hugh Beyer and Karen Holtzblatt. 1999. Contextual design. interactions 6 1 (1999) 32\u201342.","DOI":"10.1145\/291224.291229"},{"key":"e_1_3_3_3_12_2","doi-asserted-by":"crossref","unstructured":"Anna\u00a0CS Bod\u00e9n Jesper Molin Stina Garvin Rebecca\u00a0A West Claes Lundstr\u00f6m and Darren Treanor. 2021. The human-in-the-loop: an evaluation of pathologists\u2019 interaction with artificial intelligence in clinical practice. Histopathology 79 2 (2021) 210\u2013218.","DOI":"10.1111\/his.14356"},{"key":"e_1_3_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15561-1_32"},{"key":"e_1_3_3_3_14_2","doi-asserted-by":"crossref","unstructured":"Virginia Braun and Victoria Clarke. 2019. Reflecting on reflexive thematic analysis. Qualitative research in sport exercise and health 11 4 (2019) 589\u2013597.","DOI":"10.1080\/2159676X.2019.1628806"},{"key":"e_1_3_3_3_15_2","unstructured":"John Brooke. 1995. SUS: A quick and dirty usability scale. Usability Eval. Ind. 189 (11 1995)."},{"key":"e_1_3_3_3_16_2","unstructured":"Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared\u00a0D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et\u00a0al. 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020) 1877\u20131901."},{"key":"e_1_3_3_3_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581268"},{"key":"e_1_3_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580959"},{"key":"e_1_3_3_3_19_2","doi-asserted-by":"publisher","DOI":"10.1145\/3334480.3382839"},{"key":"e_1_3_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3593013.3594033"},{"key":"e_1_3_3_3_21_2","first-page":"317","volume-title":"2010 5th ACM\/IEEE International Conference on Human-Robot Interaction (HRI)","author":"Chao Crystal","year":"2010","unstructured":"Crystal Chao, Maya Cakmak, and Andrea\u00a0L Thomaz. 2010. Transparent active learning for robots. In 2010 5th ACM\/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 317\u2013324."},{"key":"e_1_3_3_3_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/3490099.3511141"},{"key":"e_1_3_3_3_23_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.84"},{"key":"e_1_3_3_3_24_2","unstructured":"Paul\u00a0F Christiano Jan Leike Tom Brown Miljan Martic Shane Legg and Dario Amodei. 2017. Deep reinforcement learning from human preferences. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_3_3_25_2","doi-asserted-by":"crossref","unstructured":"Nigel Cross. 1982. Designerly ways of knowing. Design studies 3 4 (1982) 221\u2013227.","DOI":"10.1016\/0142-694X(82)90040-0"},{"key":"e_1_3_3_3_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/3593013.3594037"},{"key":"e_1_3_3_3_27_2","doi-asserted-by":"crossref","unstructured":"Ameet Deshpande Vishvak Murahari Tanmay Rajpurohit Ashwin Kalyan and Karthik Narasimhan. 2023. Toxicity in chatgpt: Analyzing persona-assigned language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2304.05335 (2023).","DOI":"10.18653\/v1\/2023.findings-emnlp.88"},{"key":"e_1_3_3_3_28_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581347"},{"key":"e_1_3_3_3_29_2","unstructured":"Jesse Dodge Gabriel Ilharco Roy Schwartz Ali Farhadi Hannaneh Hajishirzi and Noah Smith. 2020. Fine-tuning pretrained language models: Weight initializations data orders and early stopping. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2002.06305 (2020)."},{"key":"e_1_3_3_3_30_2","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025739"},{"key":"e_1_3_3_3_31_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581338"},{"key":"e_1_3_3_3_32_2","doi-asserted-by":"publisher","DOI":"10.1145\/604045.604056"},{"key":"e_1_3_3_3_33_2","unstructured":"KJ Feng Quan\u00a0Ze Chen Inyoung Cheong King Xia Amy\u00a0X Zhang et\u00a0al. 2023. Case Repositories: Towards Case-Based Reasoning for AI Alignment. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2311.10934 (2023)."},{"key":"e_1_3_3_3_34_2","doi-asserted-by":"publisher","DOI":"10.1145\/3563657.3596101"},{"key":"e_1_3_3_3_35_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581273"},{"key":"e_1_3_3_3_36_2","doi-asserted-by":"publisher","DOI":"10.1145\/3581641.3584064"},{"key":"e_1_3_3_3_37_2","unstructured":"Leo Gao Tom\u00a0Dupr\u00e9 la Tour Henk Tillman Gabriel Goh Rajan Troll Alec Radford Ilya Sutskever Jan Leike and Jeffrey Wu. 2024. Scaling and evaluating sparse autoencoders. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2406.04093 (2024)."},{"key":"e_1_3_3_3_38_2","unstructured":"Google. 2024. Cloud AutoML Custom Machine Learning Models. https:\/\/cloud.google.com\/automl\/."},{"key":"e_1_3_3_3_39_2","unstructured":"Google. 2024. People + AI Guidebook. https:\/\/pair.withgoogle.com\/guidebook\/."},{"key":"e_1_3_3_3_40_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3501823"},{"key":"e_1_3_3_3_41_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300809"},{"key":"e_1_3_3_3_42_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376177"},{"key":"e_1_3_3_3_43_2","unstructured":"Edward\u00a0J Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang and Weizhu Chen. 2021. Lora: Low-rank adaptation of large language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2106.09685 (2021)."},{"key":"e_1_3_3_3_44_2","unstructured":"Scott Huffman and Josh Woodward. 2023. PaLM API & MakerSuite: an approachable way to start prototyping and building generative AI applications. https:\/\/developers.googleblog.com\/2023\/03\/announcing-palm-api-and-makersuite.html."},{"key":"e_1_3_3_3_45_2","first-page":"17","volume-title":"Proceedings of the SIGCHI conference on Human factors in computing systems","author":"Hutchinson Hilary","year":"2003","unstructured":"Hilary Hutchinson, Wendy Mackay, Bo Westerlund, Benjamin\u00a0B Bederson, Allison Druin, Catherine Plaisant, Michel Beaudouin-Lafon, St\u00e9phane Conversy, Helen Evans, Heiko Hansen, et\u00a0al. 2003. Technology probes: inspiring design for and with families. In Proceedings of the SIGCHI conference on Human factors in computing systems. 17\u201324."},{"key":"e_1_3_3_3_46_2","unstructured":"IBM. 2024. IBM Watson Studio - AutoML - IBM AutoAI. https:\/\/www.ibm.com\/cloud\/watson-studio\/autoai."},{"key":"e_1_3_3_3_47_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491101.3503564"},{"key":"e_1_3_3_3_48_2","doi-asserted-by":"publisher","DOI":"10.1145\/3581641.3584054"},{"key":"e_1_3_3_3_49_2","unstructured":"Jean Kaddour Joshua Harris Maximilian Mozes Herbie Bradley Roberta Raileanu and Robert McHardy. 2023. Challenges and Applications of Large Language Models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2307.10169 (2023)."},{"key":"e_1_3_3_3_50_2","doi-asserted-by":"publisher","DOI":"10.1145\/1978942.1979444"},{"key":"e_1_3_3_3_51_2","unstructured":"Chinmay Kulkarni Stefania Druga Minsuk Chang Alex Fiannaca Carrie Cai and Michael Terry. 2023. A Word is Worth a Thousand Pictures: Prompts as AI Design Material. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2303.12647 (2023)."},{"key":"e_1_3_3_3_52_2","unstructured":"James Landay. 2024. \u201cAI For Good\u201d Isn\u2019t Good Enough: A Call for Human-Centered AI. https:\/\/hai.stanford.edu\/events\/ai-good-isnt-good-enough-call-human-centered-ai."},{"key":"e_1_3_3_3_53_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3502030"},{"key":"e_1_3_3_3_54_2","doi-asserted-by":"crossref","unstructured":"Paul\u00a0M Leonardi. 2012. Materiality sociomateriality and socio-technical systems: What do these terms mean? How are they different? Do we need them? Materiality and organizing: Social interaction in a technological world 25 10 (2012) 10\u20131093.","DOI":"10.2139\/ssrn.2129878"},{"key":"e_1_3_3_3_55_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580652"},{"key":"e_1_3_3_3_56_2","doi-asserted-by":"crossref","unstructured":"Q\u00a0Vera Liao and Jennifer\u00a0Wortman Vaughan. 2023. AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2306.01941 (2023).","DOI":"10.1162\/99608f92.8036d03b"},{"key":"e_1_3_3_3_57_2","unstructured":"Liner.ai. 2022. Machine learning in a few clicks. https:\/\/www.liner.ai\/."},{"key":"e_1_3_3_3_58_2","doi-asserted-by":"crossref","unstructured":"Yang Liu Alex Kale Tim Althoff and Jeffrey Heer. 2020. Boba: Authoring and visualizing multiverse analyses. IEEE Transactions on Visualization and Computer Graphics 27 2 (2020) 1753\u20131763.","DOI":"10.1109\/TVCG.2020.3028985"},{"key":"e_1_3_3_3_59_2","unstructured":"Lobe.ai. 2021. Machine Learning Made Easy. https:\/\/www.lobe.ai\/."},{"key":"e_1_3_3_3_60_2","unstructured":"Danwei\u00a0Tran Luciani Martin Lindvall Jonas L\u00f6wgren et\u00a0al. 2018. Machine learning as a design material: a curated collection of exemplars for visual interaction. DS 91: Proceedings of NordDesign 2018 Link\u00f6ping Sweden 14th-17th August 2018 (2018)."},{"key":"e_1_3_3_3_61_2","doi-asserted-by":"publisher","DOI":"10.4324\/9780203854921"},{"key":"e_1_3_3_3_62_2","unstructured":"Wendy\u00a0E Mackay. 1990. Users and customizable software: A co-adaptive phenomenon. Ph.\u00a0D. Dissertation. Massachusetts Institute of Technology."},{"key":"e_1_3_3_3_63_2","doi-asserted-by":"publisher","DOI":"10.1145\/3672539.3695752"},{"key":"e_1_3_3_3_64_2","unstructured":"Microsoft. 2023. System message framework and template recommendations for Large Language Models (LLMs). https:\/\/learn.microsoft.com\/en-us\/azure\/ai-services\/openai\/concepts\/system-message."},{"key":"e_1_3_3_3_65_2","unstructured":"Microsoft. 2024. Azure Automated Machine Learning - AutoML. https:\/\/azure.microsoft.com\/en-us\/products\/machine-learning\/automatedml\/."},{"key":"e_1_3_3_3_66_2","unstructured":"Microsoft. 2024. Collaborative tools to help you create more effective and responsible human-AI experiences. https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/."},{"key":"e_1_3_3_3_67_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445096"},{"key":"e_1_3_3_3_68_2","volume-title":"Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI","author":"Monarch Robert\u00a0Munro","year":"2021","unstructured":"Robert\u00a0Munro Monarch. 2021. Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI. Simon and Schuster."},{"key":"e_1_3_3_3_69_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581242"},{"key":"e_1_3_3_3_70_2","unstructured":"OpenAI. 2023. Custom instructions for ChatGPT. https:\/\/openai.com\/blog\/custom-instructions-for-chatgpt."},{"key":"e_1_3_3_3_71_2","unstructured":"OpenAI. 2023. GPT-4 Technical Report. ArXiv abs\/2303.08774 (2023)."},{"key":"e_1_3_3_3_72_2","unstructured":"OpenAI. 2023. GPT Models. https:\/\/platform.openai.com\/docs\/guides\/gpt."},{"key":"e_1_3_3_3_73_2","unstructured":"OpenAI. 2024. Playground. https:\/\/platform.openai.com\/playground."},{"key":"e_1_3_3_3_74_2","doi-asserted-by":"crossref","unstructured":"Wanda\u00a0J Orlikowski. 2007. Sociomaterial practices: Exploring technology at work. Organization studies 28 9 (2007) 1435\u20131448.","DOI":"10.1177\/0170840607081138"},{"key":"e_1_3_3_3_75_2","unstructured":"Long Ouyang Jeffrey 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. Advances in Neural Information Processing Systems 35 (2022) 27730\u201327744."},{"key":"e_1_3_3_3_76_2","first-page":"27730","volume-title":"Advances in Neural Information Processing Systems","volume":"35","author":"Ouyang Long","year":"2022","unstructured":"Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul\u00a0F Christiano, Jan Leike, and Ryan Lowe. 2022. Training language models to follow instructions with human feedback. In Advances in Neural Information Processing Systems , S.\u00a0Koyejo, S.\u00a0Mohamed, A.\u00a0Agarwal, D.\u00a0Belgrave, K.\u00a0Cho, and A.\u00a0Oh (Eds.), Vol.\u00a035. Curran Associates, Inc., 27730\u201327744. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2022\/file\/b1efde53be364a73914f58805a001731-Paper-Conference.pdf"},{"key":"e_1_3_3_3_77_2","unstructured":"p5.js. 2022. p5.js Showcase. https:\/\/showcase.p5js.org\/."},{"key":"e_1_3_3_3_78_2","unstructured":"Chris Parnin Gustavo Soares Rahul Pandita Sumit Gulwani Jessica Rich and Austin\u00a0Z Henley. 2023. Building Your Own Product Copilot: Challenges Opportunities and Needs. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2312.14231 (2023)."},{"key":"e_1_3_3_3_79_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544549.3585628"},{"key":"e_1_3_3_3_80_2","doi-asserted-by":"crossref","unstructured":"Savvas Petridis Michael Terry and Carrie\u00a0J Cai. 2023. PromptInfuser: How Tightly Coupling AI and UI Design Impacts Designers\u2019 Workflows. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2310.15435 (2023).","DOI":"10.1145\/3643834.3661613"},{"key":"e_1_3_3_3_81_2","unstructured":"Rafael Rafailov Archit Sharma Eric Mitchell Stefano Ermon Christopher\u00a0D Manning and Chelsea Finn. 2023. Direct preference optimization: Your language model is secretly a reward model. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2305.18290 (2023)."},{"key":"e_1_3_3_3_82_2","unstructured":"Hema Raghavan Omid Madani and Rosie Jones. 2006. Active learning with feedback on features and instances. The Journal of Machine Learning Research 7 (2006) 1655\u20131686."},{"key":"e_1_3_3_3_83_2","doi-asserted-by":"crossref","unstructured":"Donghao Ren Saleema Amershi Bongshin Lee Jina Suh and Jason\u00a0D Williams. 2016. Squares: Supporting interactive performance analysis for multiclass classifiers. IEEE transactions on visualization and computer graphics 23 1 (2016) 61\u201370.","DOI":"10.1109\/TVCG.2016.2598828"},{"key":"e_1_3_3_3_84_2","doi-asserted-by":"crossref","unstructured":"Mark\u00a0O Riedl. 2019. Human-centered artificial intelligence and machine learning. Human behavior and emerging technologies 1 1 (2019) 33\u201336.","DOI":"10.1002\/hbe2.117"},{"key":"e_1_3_3_3_85_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580790"},{"key":"e_1_3_3_3_86_2","doi-asserted-by":"publisher","DOI":"10.1145\/1709886.1709911"},{"key":"e_1_3_3_3_87_2","unstructured":"Kevin Roose. 2023. Bing\u2019s A.I. Chat: \u2018I Want to Be Alive.\u2019. https:\/\/www.nytimes.com\/2023\/02\/16\/technology\/bing-chatbot-transcript.html."},{"key":"e_1_3_3_3_88_2","unstructured":"Leonard Salewski Stephan Alaniz Isabel Rio-Torto Eric Schulz and Zeynep Akata. 2024. In-context impersonation reveals Large Language Models\u2019 strengths and biases. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_3_3_89_2","unstructured":"Shibani Santurkar Esin Durmus Faisal Ladhak Cinoo Lee Percy Liang and Tatsunori Hashimoto. 2023. Whose opinions do language models reflect? arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2303.17548 (2023)."},{"key":"e_1_3_3_3_90_2","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287598"},{"key":"e_1_3_3_3_91_2","doi-asserted-by":"crossref","unstructured":"Burr Settles. 2012. Active learning. Synthesis lectures on artificial intelligence and machine learning 6 1 (2012) 1\u2013114.","DOI":"10.1007\/978-3-031-01560-1_1"},{"key":"e_1_3_3_3_92_2","unstructured":"Saqib Shah. 2023. Snapchat\u2019s My AI chatbot is making people paranoid as it \u2018knows your current location\u2019. https:\/\/www.standard.co.uk\/tech\/snapchat-my-ai-chatbot-making-people-paranoid-b1076287.html."},{"key":"e_1_3_3_3_93_2","doi-asserted-by":"publisher","DOI":"10.1145\/3600211.3604673"},{"key":"e_1_3_3_3_94_2","doi-asserted-by":"crossref","unstructured":"Ben Shneiderman. 2020. Human-centered artificial intelligence: Three fresh ideas. AIS Transactions on Human-Computer Interaction 12 3 (2020) 109\u2013124.","DOI":"10.17705\/1thci.00131"},{"key":"e_1_3_3_3_95_2","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780192845290.001.0001"},{"key":"e_1_3_3_3_96_2","doi-asserted-by":"publisher","DOI":"10.1145\/3172944.3172965"},{"key":"e_1_3_3_3_97_2","doi-asserted-by":"crossref","unstructured":"Susan\u00a0Leigh Star and James\u00a0R Griesemer. 1989. Institutional ecology translations\u2019 and boundary objects: Amateurs and professionals in Berkeley\u2019s Museum of Vertebrate Zoology 1907-39. Social studies of science 19 3 (1989) 387\u2013420.","DOI":"10.1177\/030631289019003001"},{"key":"e_1_3_3_3_98_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517537"},{"key":"e_1_3_3_3_99_2","doi-asserted-by":"publisher","DOI":"10.1145\/3397481.3450640"},{"key":"e_1_3_3_3_100_2","doi-asserted-by":"publisher","DOI":"10.1145\/3461778.3462012"},{"key":"e_1_3_3_3_101_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606756"},{"key":"e_1_3_3_3_102_2","unstructured":"Adly Templeton Tom Conerly Jonathan Marcus Jack Lindsey Trenton Bricken Brian Chen Adam Pearce Craig Citro Emmanuel Ameisen Andy Jones Hoagy Cunningham Nicholas\u00a0L Turner Callum McDougall Monte MacDiarmid C.\u00a0Daniel Freeman Theodore\u00a0R. Sumers Edward Rees Joshua Batson Adam Jermyn Shan Carter Chris Olah and Tom Henighan. 2024. Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet. Transformer Circuits Thread (2024). https:\/\/transformer-circuits.pub\/2024\/scaling-monosemanticity\/index.html"},{"key":"e_1_3_3_3_103_2","unstructured":"usability.gov. 2022. System Usability Scale (SUS). https:\/\/www.usability.gov\/how-to-and-tools\/methods\/system-usability-scale.html."},{"key":"e_1_3_3_3_104_2","doi-asserted-by":"publisher","unstructured":"Qiaosi Wang Michael Madaio Shaun Kane Shivani Kapania Michael Terry and Lauren Wilcox. 2023. Designing Responsible AI: Adaptations of UX Practice to Meet Responsible AI Challenges(CHI \u201923). Association for Computing Machinery New York NY USA Article 249 16\u00a0pages. 10.1145\/3544548.3581278","DOI":"10.1145\/3544548.3581278"},{"key":"e_1_3_3_3_105_2","doi-asserted-by":"publisher","DOI":"10.1109\/VIS54862.2022.00021"},{"key":"e_1_3_3_3_106_2","unstructured":"Alexander Wei Nika Haghtalab and Jacob Steinhardt. 2023. Jailbroken: How Does LLM Safety Training Fail? arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2307.02483 (2023)."},{"key":"e_1_3_3_3_107_2","unstructured":"Jason Wei Maarten Bosma Vincent\u00a0Y Zhao Kelvin Guu Adams\u00a0Wei Yu Brian Lester Nan Du Andrew\u00a0M Dai and Quoc\u00a0V Le. 2021. Finetuned language models are zero-shot learners. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2109.01652 (2021)."},{"key":"e_1_3_3_3_108_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_3_109_2","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533088"},{"key":"e_1_3_3_3_110_2","unstructured":"Yotam Wolf Noam Wies Yoav Levine and Amnon Shashua. 2023. Fundamental limitations of alignment in large language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2304.11082 (2023)."},{"key":"e_1_3_3_3_111_2","doi-asserted-by":"crossref","unstructured":"Kanit Wongsuphasawat Dominik Moritz Anushka Anand Jock Mackinlay Bill Howe and Jeffrey Heer. 2015. Voyager: Exploratory analysis via faceted browsing of visualization recommendations. IEEE transactions on visualization and computer graphics 22 1 (2015) 649\u2013658.","DOI":"10.1109\/TVCG.2015.2467191"},{"key":"e_1_3_3_3_112_2","doi-asserted-by":"publisher","DOI":"10.1145\/3581641.3584059"},{"key":"e_1_3_3_3_113_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491101.3519729"},{"key":"e_1_3_3_3_114_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517582"},{"key":"e_1_3_3_3_115_2","volume-title":"AAAI Spring Symposia","author":"Yang Qian","year":"2018","unstructured":"Qian Yang. 2018. Machine learning as a UX design material: how can we imagine beyond automation, recommenders, and reminders?. In AAAI Spring Symposia."},{"key":"e_1_3_3_3_116_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376301"},{"key":"e_1_3_3_3_117_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517491"},{"key":"e_1_3_3_3_118_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580900"},{"key":"e_1_3_3_3_119_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581388"},{"key":"e_1_3_3_3_120_2","first-page":"12697","volume-title":"International Conference on Machine Learning","author":"Zhao Zihao","year":"2021","unstructured":"Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, and Sameer Singh. 2021. Calibrate before use: Improving few-shot performance of language models. In International Conference on Machine Learning. PMLR, 12697\u201312706."}],"event":{"name":"CHI 2025: CHI Conference on Human Factors in Computing Systems","location":"Yokohama Japan","acronym":"CHI '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706598.3713139","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3706598.3713139","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T05:30:57Z","timestamp":1751607057000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706598.3713139"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,25]]},"references-count":119,"alternative-id":["10.1145\/3706598.3713139","10.1145\/3706598"],"URL":"https:\/\/doi.org\/10.1145\/3706598.3713139","relation":{},"subject":[],"published":{"date-parts":[[2025,4,25]]},"assertion":[{"value":"2025-04-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}