{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T10:10:33Z","timestamp":1781086233123,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":105,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,11]],"date-time":"2024-10-11T00:00:00Z","timestamp":1728604800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,13]]},"DOI":"10.1145\/3654777.3676345","type":"proceedings-article","created":{"date-parts":[[2024,10,11]],"date-time":"2024-10-11T10:50:36Z","timestamp":1728643836000},"page":"1-19","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":49,"title":["Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6118-7938","authenticated-orcid":false,"given":"Majeed","family":"Kazemitabaar","sequence":"first","affiliation":[{"name":"Computer Science \/ DGP, University of Toronto, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1925-7191","authenticated-orcid":false,"given":"Jack","family":"Williams","sequence":"additional","affiliation":[{"name":"Microsoft Research, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3475-2609","authenticated-orcid":false,"given":"Ian","family":"Drosos","sequence":"additional","affiliation":[{"name":"Microsoft Research, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0494-5373","authenticated-orcid":false,"given":"Tovi","family":"Grossman","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Toronto, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1069-2795","authenticated-orcid":false,"given":"Austin Zachary","family":"Henley","sequence":"additional","affiliation":[{"name":"Microsoft Research, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2130-7223","authenticated-orcid":false,"given":"Carina","family":"Negreanu","sequence":"additional","affiliation":[{"name":"Microsoft Research, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5401-3478","authenticated-orcid":false,"given":"Advait","family":"Sarkar","sequence":"additional","affiliation":[{"name":"Microsoft Research, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,10,11]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"[n. d.]. ChatGPT Plugin for Notebook. https:\/\/web.archive.org\/web\/20231216052624\/https:\/\/noteable.io\/chatgpt-plugin-for-notebook\/. Accessed: 2023-12-16."},{"key":"e_1_3_2_1_2_1","unstructured":"Anaconda. 2024. Anaconda Assistant Launches to Bring Instant Data Analysis Code Generation and Insights to Users. https:\/\/www.anaconda.com\/blog\/anaconda-assistant-launches-to-bring-instant-data-analysis-code-generation-and-insights-to-users. Accessed: 2024-03-01."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300484"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3586030"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3360594"},{"key":"e_1_3_2_1_6_1","volume-title":"Patient satisfaction in developing countries. Social science & medicine 48, 8","author":"Bernhart H","year":"1999","unstructured":"Michael\u00a0H Bernhart, IGP Wiadnyana, Haryoko Wihardjo, and Imbalos Pohan. 1999. Patient satisfaction in developing countries. Social science & medicine 48, 8 (1999), 989\u2013996."},{"key":"e_1_3_2_1_7_1","volume-title":"Using thematic analysis in psychology. Qualitative research in psychology 3, 2","author":"Braun Virginia","year":"2006","unstructured":"Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2 (2006), 77\u2013101."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376729"},{"key":"e_1_3_2_1_9_1","volume-title":"CoWrangler: Recommender System for Data-Wrangling Scripts. In Companion of the 2023 International Conference on Management of Data. 147\u2013150","author":"Chopra Bhavya","year":"2023","unstructured":"Bhavya Chopra, Anna Fariha, Sumit Gulwani, Austin\u00a0Z Henley, Daniel Perelman, Mohammad Raza, Sherry Shi, Danny Simmons, and Ashish Tiwari. 2023. CoWrangler: Recommender System for Data-Wrangling Scripts. In Companion of the 2023 International Conference on Management of Data. 147\u2013150."},{"key":"e_1_3_2_1_10_1","volume-title":"Conversational challenges in ai-powered data science: Obstacles, needs, and design opportunities. arXiv preprint arXiv:2310.16164","author":"Chopra Bhavya","year":"2023","unstructured":"Bhavya Chopra, Ananya Singha, Anna Fariha, Sumit Gulwani, Chris Parnin, Ashish Tiwari, and Austin\u00a0Z Henley. 2023. Conversational challenges in ai-powered data science: Obstacles, needs, and design opportunities. arXiv preprint arXiv:2310.16164 (2023)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.3030340"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1097\/00005053-198709000-00004"},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of IHM-HCI 2001 conference, Vol.\u00a02. 167\u2013170","author":"Czerwinski Mary","year":"2001","unstructured":"Mary Czerwinski, Eric Horvitz, and Edward Cutrell. 2001. Subjective duration assessment: An implicit probe for software usability. In Proceedings of IHM-HCI 2001 conference, Vol.\u00a02. 167\u2013170."},{"key":"e_1_3_2_1_14_1","unstructured":"Databricks Assistant. 2024. Introducing Databricks Assistant a context-aware AI assistant. https:\/\/www.databricks.com\/blog\/introducing-databricks-assistant. Accessed: 2024-03-01."},{"key":"e_1_3_2_1_15_1","unstructured":"DataChat. 2024. The no-code generative AI platform for instant analytics. https:\/\/datachat.ai\/. Accessed: 2024-03-01."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2207676.2208589"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3173694"},{"key":"e_1_3_2_1_18_1","volume-title":"Lida: A tool for automatic generation of grammar-agnostic visualizations and infographics using large language models. arXiv preprint arXiv:2303.02927","author":"Dibia Victor","year":"2023","unstructured":"Victor Dibia. 2023. Lida: A tool for automatic generation of grammar-agnostic visualizations and infographics using large language models. arXiv preprint arXiv:2303.02927 (2023)."},{"key":"e_1_3_2_1_19_1","volume-title":"Aligning Offline Metrics and Human Judgments of Value for Code Generation Models. arXiv preprint arXiv:2210.16494","author":"Dibia Victor","year":"2022","unstructured":"Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh, Han Liu, and Saleema Amershi. 2022. Aligning Offline Metrics and Human Judgments of Value for Code Generation Models. arXiv preprint arXiv:2210.16494 (2022)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2017.1384734"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3663384.3663389"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3510457.3513042"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544549.3585737"},{"key":"e_1_3_2_1_24_1","volume-title":"A description of think aloud method and protocol analysis. Qualitative health research 3, 4","author":"Fonteyn E","year":"1993","unstructured":"Marsha\u00a0E Fonteyn, Benjamin Kuipers, and Susan\u00a0J Grobe. 1993. A description of think aloud method and protocol analysis. Qualitative health research 3, 4 (1993), 430\u2013441."},{"key":"e_1_3_2_1_25_1","volume-title":"Co-audit: tools to help humans double-check AI-generated content. arXiv preprint arXiv:2310.01297","author":"Gordon D","year":"2023","unstructured":"Andrew\u00a0D Gordon, Carina Negreanu, Jos\u00e9 Cambronero, Rasika Chakravarthy, Ian Drosos, Hao Fang, Bhaskar Mitra, Hannah Richardson, Advait Sarkar, Stephanie Simmons, 2023. Co-audit: tools to help humans double-check AI-generated content. arXiv preprint arXiv:2310.01297 (2023)."},{"key":"e_1_3_2_1_26_1","volume-title":"Cognitive dimensions of notations. People and computers V","author":"Green RG","year":"1989","unstructured":"Thomas\u00a0RG Green. 1989. Cognitive dimensions of notations. People and computers V (1989), 443\u2013460."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1111\/insr.12028"},{"key":"e_1_3_2_1_28_1","volume-title":"How do data analysts respond to ai assistance? a wizard-of-oz study. arXiv preprint arXiv:2309.10108","author":"Gu Ken","year":"2023","unstructured":"Ken Gu, Madeleine Grunde-McLaughlin, Andrew\u00a0M McNutt, Jeffrey Heer, and Tim Althoff. 2023. How do data analysts respond to ai assistance? a wizard-of-oz study. arXiv preprint arXiv:2309.10108 (2023)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642497"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/1925844.1926423"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2612177"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2047196.2047205"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300500"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1348\/000712603762842147"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-8323-6_32"},{"key":"e_1_3_2_1_36_1","volume-title":"Direct manipulation interfaces. Human\u2013computer interaction 1, 4","author":"Hutchins L","year":"1985","unstructured":"Edwin\u00a0L Hutchins, James\u00a0D Hollan, and Donald\u00a0A Norman. 1985. Direct manipulation interfaces. Human\u2013computer interaction 1, 4 (1985), 311\u2013338."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517653"},{"key":"e_1_3_2_1_38_1","unstructured":"Jupyter AI. 2024. Jupyter AI brings generative AI to Jupyter notebooks. https:\/\/jupyter-ai.readthedocs.io\/en\/latest\/. Accessed: 2024-03-01."},{"key":"e_1_3_2_1_39_1","volume-title":"Kaggle: Your Machine Learning and Data Science Community. https:\/\/www.kaggle.com\/. Accessed: 2024-03-01.","year":"2023","unstructured":"Kaggle. 2023. Kaggle: Your Machine Learning and Data Science Community. https:\/\/www.kaggle.com\/. Accessed: 2024-03-01."},{"key":"e_1_3_2_1_40_1","volume-title":"Research: quantifying GitHub Copilot\u2019s impact on developer productivity and happiness. The GitHub Blog","author":"Kalliamvakou Eirini","year":"2022","unstructured":"Eirini Kalliamvakou. 2022. Research: quantifying GitHub Copilot\u2019s impact on developer productivity and happiness. The GitHub Blog (2022)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/1978942.1979444"},{"key":"e_1_3_2_1_42_1","volume-title":"Enterprise data analysis and visualization: An interview study","author":"Kandel Sean","year":"2012","unstructured":"Sean Kandel, Andreas Paepcke, Joseph\u00a0M Hellerstein, and Jeffrey Heer. 2012. Enterprise data analysis and visualization: An interview study. IEEE transactions on visualization and computer graphics 18, 12 (2012), 2917\u20132926."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3170427.3188445"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Majeed Kazemitabaar Runlong Ye Xiaoning Wang Austin\u00a0Z Henley Paul Denny Michelle Craig and Tovi Grossman. 2024. CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs. (2024).","DOI":"10.1145\/3613904.3642773"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025626"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300322"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/VLHCC.2017.8103446"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3173748"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3415234"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/2884781.2884783"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2017.2754374"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581001"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300641"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhcs.2020.102562"},{"key":"e_1_3_2_1_55_1","volume-title":"Rethinking explainability as a dialogue: A practitioner\u2019s perspective. arXiv preprint arXiv:2202.01875","author":"Lakkaraju Himabindu","year":"2022","unstructured":"Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan, and Sameer Singh. 2022. Rethinking explainability as a dialogue: A practitioner\u2019s perspective. arXiv preprint arXiv:2202.01875 (2022)."},{"key":"e_1_3_2_1_56_1","volume-title":"Understanding the usability of AI programming assistants. arXiv preprint arXiv:2303.17125","author":"Liang T","year":"2023","unstructured":"Jenny\u00a0T Liang, Chenyang Yang, and Brad\u00a0A Myers. 2023. Understanding the usability of AI programming assistants. arXiv preprint arXiv:2303.17125 (2023)."},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376590"},{"key":"e_1_3_2_1_58_1","volume-title":"Human-centered explainable ai (xai): From algorithms to user experiences. arXiv preprint arXiv:2110.10790","author":"Liao Q\u00a0Vera","year":"2021","unstructured":"Q\u00a0Vera Liao and Kush\u00a0R Varshney. 2021. Human-centered explainable ai (xai): From algorithms to user experiences. arXiv preprint arXiv:2110.10790 (2021)."},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"crossref","unstructured":"Mark Liffiton Brad Sheese Jaromir Savelka and Paul Denny. 2023. CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes. arxiv:2308.06921\u00a0[cs.CY]","DOI":"10.1145\/3631802.3631830"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580817"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376533"},{"key":"e_1_3_2_1_62_1","first-page":"310","article-title":"Triangulation within and across HCI disciplines","volume":"13","author":"Mackay E","year":"1998","unstructured":"Wendy\u00a0E Mackay. 1998. Triangulation within and across HCI disciplines. Human-Computer Interaction 13, 3 (1998), 310\u2013315.","journal-title":"Human-Computer Interaction"},{"key":"e_1_3_2_1_63_1","volume-title":"Directgpt: A direct manipulation interface to interact with large language models.","author":"Masson Damien","year":"2024","unstructured":"Damien Masson, Sylvain Malacria, G\u00e9ry Casiez, and Daniel Vogel. 2024. Directgpt: A direct manipulation interface to interact with large language models. (2024)."},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3359174"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580940"},{"key":"e_1_3_2_1_66_1","volume-title":"Reframing Instructional Prompts to GPTk\u2019s Language. arXiv preprint arXiv:2109.07830","author":"Mishra Swaroop","year":"2021","unstructured":"Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, and Hannaneh Hajishirzi. 2021. Reframing Instructional Prompts to GPTk\u2019s Language. arXiv preprint arXiv:2109.07830 (2021)."},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"crossref","unstructured":"Hussein Mozannar Gagan Bansal Adam Fourney and Eric Horvitz. 2024. Reading between the lines: Modeling user behavior and costs in AI-assisted programming. (2024).","DOI":"10.1145\/3613904.3641936"},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300356"},{"key":"e_1_3_2_1_69_1","volume-title":"Progressive disclosure. nngroup. com","author":"Nielsen Jakob","year":"2006","unstructured":"Jakob Nielsen. 2006. Progressive disclosure. nngroup. com (2006)."},{"key":"e_1_3_2_1_70_1","unstructured":"OpenAI. 2023. ChatGPT plugins. https:\/\/openai.com\/blog\/chatgpt-plugins##code-interpreter. Accessed: 2024-03-01."},{"key":"e_1_3_2_1_71_1","volume-title":"How do data science workers communicate intermediate results?. In 2022 IEEE Visualization in Data Science (VDS)","author":"Pang Rock\u00a0Yuren","unstructured":"Rock\u00a0Yuren Pang, Ruotong Wang, Joely Nelson, and Leilani Battle. 2022. How do data science workers communicate intermediate results?. In 2022 IEEE Visualization in Data Science (VDS). IEEE, 46\u201354."},{"key":"e_1_3_2_1_72_1","volume-title":"Information foraging.Psychological review 106, 4","author":"Pirolli Peter","year":"1999","unstructured":"Peter Pirolli and Stuart Card. 1999. Information foraging.Psychological review 106, 4 (1999), 643."},{"key":"e_1_3_2_1_73_1","volume-title":"Proceedings of international conference on intelligence analysis, Vol.\u00a05. McLean, VA, USA, 2\u20134.","author":"Pirolli Peter","year":"2005","unstructured":"Peter Pirolli and Stuart Card. 2005. The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis. In Proceedings of international conference on intelligence analysis, Vol.\u00a05. McLean, VA, USA, 2\u20134."},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445063"},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1145\/169059.169255"},{"key":"e_1_3_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3173606"},{"key":"e_1_3_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1145\/169059.169209"},{"key":"e_1_3_2_1_78_1","unstructured":"Advait Sarkar. 2016. Interactive analytical modelling. Technical Report UCAM-CL-TR-920. University of Cambridge Computer Laboratory. https:\/\/doi.org\/10.48456\/tr-920"},{"key":"e_1_3_2_1_79_1","volume-title":"Workshop on Transparency and Explanations in Smart Systems (TeXSS), in conjunction with ACM Intelligent User Interfaces (IUI 2022)(CEUR Workshop Proceedings, 3124)","author":"Sarkar Advait","year":"2022","unstructured":"Advait Sarkar. 2022. Is explainable AI a race against model complexity?. In Workshop on Transparency and Explanations in Smart Systems (TeXSS), in conjunction with ACM Intelligent User Interfaces (IUI 2022)(CEUR Workshop Proceedings, 3124). 192\u2013199. http:\/\/ceur-ws.org\/Vol-3124\/paper22.pdf"},{"key":"e_1_3_2_1_80_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544549.3582741"},{"key":"e_1_3_2_1_81_1","volume-title":"What is it like to program with artificial intelligence?arXiv preprint arXiv:2208.06213","author":"Sarkar Advait","year":"2022","unstructured":"Advait Sarkar, Andrew\u00a0D Gordon, Carina Negreanu, Christian Poelitz, Sruti\u00a0Srinivasa Ragavan, and Ben Zorn. 2022. What is it like to program with artificial intelligence?arXiv preprint arXiv:2208.06213 (2022)."},{"key":"e_1_3_2_1_82_1","doi-asserted-by":"publisher","DOI":"10.1109\/VLHCC.2015.7357211"},{"key":"e_1_3_2_1_83_1","doi-asserted-by":"publisher","DOI":"10.1145\/2480741.2480748"},{"key":"e_1_3_2_1_84_1","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3501972"},{"key":"e_1_3_2_1_85_1","volume-title":"The craft of information visualization","author":"Shneiderman Ben","unstructured":"Ben Shneiderman. 2003. The eyes have it: A task by data type taxonomy for information visualizations. In The craft of information visualization. Elsevier, 364\u2013371."},{"key":"e_1_3_2_1_86_1","volume-title":"Toby Jia-Jun Li, and Haijun Xia","author":"Suh Sangho","year":"2024","unstructured":"Sangho Suh, Meng Chen, Bryan Min, Toby Jia-Jun Li, and Haijun Xia. 2024. Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation. (2024)."},{"key":"e_1_3_2_1_87_1","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606756"},{"key":"e_1_3_2_1_88_1","doi-asserted-by":"publisher","DOI":"10.1145\/3490099.3511119"},{"key":"e_1_3_2_1_89_1","doi-asserted-by":"crossref","unstructured":"Lev Tankelevitch Viktor Kewenig Auste Simkute Ava\u00a0Elizabeth Scott Advait Sarkar Abigail Sellen and Sean Rintel. 2024. The Metacognitive Demands and Opportunities of Generative AI. (2024).","DOI":"10.1145\/3613904.3642902"},{"key":"e_1_3_2_1_90_1","volume-title":"Jonathan\u00a0K Kummerfeld, and Tianyi Zhang.","author":"Tian Yuan","year":"2023","unstructured":"Yuan Tian, Zheng Zhang, Zheng Ning, Toby Jia-Jun Li, Jonathan\u00a0K Kummerfeld, and Tianyi Zhang. 2023. Interactive text-to-SQL generation via editable step-by-step explanations. arXiv preprint arXiv:2305.07372 (2023)."},{"key":"e_1_3_2_1_91_1","doi-asserted-by":"publisher","DOI":"10.1145\/3491101.3519665"},{"key":"e_1_3_2_1_92_1","volume-title":"Generation probabilities are not enough: Exploring the effectiveness of uncertainty highlighting in AI-powered code completions. arXiv preprint arXiv:2302.07248","author":"Vasconcelos Helena","year":"2023","unstructured":"Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q\u00a0Vera Liao, and Jennifer\u00a0Wortman Vaughan. 2023. Generation probabilities are not enough: Exploring the effectiveness of uncertainty highlighting in AI-powered code completions. arXiv preprint arXiv:2302.07248 (2023)."},{"key":"e_1_3_2_1_93_1","doi-asserted-by":"publisher","DOI":"10.1145\/3359141"},{"key":"e_1_3_2_1_94_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445526"},{"key":"e_1_3_2_1_95_1","doi-asserted-by":"publisher","DOI":"10.1145\/3324884.3416585"},{"key":"e_1_3_2_1_96_1","volume-title":"Denny Zhou","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc\u00a0V Le, Denny Zhou, 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_2_1_97_1","doi-asserted-by":"publisher","DOI":"10.1145\/3379337.3415851"},{"key":"e_1_3_2_1_98_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2022.3144975"},{"key":"e_1_3_2_1_99_1","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3389738"},{"key":"e_1_3_2_1_100_1","volume-title":"ReAct: Synergizing Reasoning and Acting in Language Models. In The Eleventh International Conference on Learning Representations.","author":"Yao Shunyu","year":"2022","unstructured":"Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik\u00a0R Narasimhan, and Yuan Cao. 2022. ReAct: Synergizing Reasoning and Acting in Language Models. In The Eleventh International Conference on Learning Representations."},{"key":"e_1_3_2_1_101_1","volume-title":"CoLadder: Supporting Programmers with Hierarchical Code Generation in Multi-Level Abstraction. arXiv preprint arXiv:2310.08699","author":"Yen Ryan","year":"2023","unstructured":"Ryan Yen, Jiawen Zhu, Sangho Suh, Haijun Xia, and Jian Zhao. 2023. CoLadder: Supporting Programmers with Hierarchical Code Generation in Multi-Level Abstraction. arXiv preprint arXiv:2310.08699 (2023)."},{"key":"e_1_3_2_1_102_1","volume-title":"Natural language to code generation in interactive data science notebooks. arXiv preprint arXiv:2212.09248","author":"Yin Pengcheng","year":"2022","unstructured":"Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, 2022. Natural language to code generation in interactive data science notebooks. arXiv preprint arXiv:2212.09248 (2022)."},{"key":"e_1_3_2_1_103_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581388"},{"key":"e_1_3_2_1_104_1","doi-asserted-by":"publisher","DOI":"10.1145\/3392826"},{"key":"e_1_3_2_1_105_1","doi-asserted-by":"publisher","DOI":"10.1145\/3334480.3382794"}],"event":{"name":"UIST '24: The 37th Annual ACM Symposium on User Interface Software and Technology","location":"Pittsburgh PA USA","acronym":"UIST '24"},"container-title":["Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3654777.3676345","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3654777.3676345","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T21:10:07Z","timestamp":1754341807000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3654777.3676345"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,11]]},"references-count":105,"alternative-id":["10.1145\/3654777.3676345","10.1145\/3654777"],"URL":"https:\/\/doi.org\/10.1145\/3654777.3676345","relation":{},"subject":[],"published":{"date-parts":[[2024,10,11]]},"assertion":[{"value":"2024-10-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}