{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T16:03:48Z","timestamp":1784045028079,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T00:00:00Z","timestamp":1783900800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7,13]]},"DOI":"10.1145\/3803784.3816857","type":"proceedings-article","created":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T15:29:49Z","timestamp":1783956589000},"page":"1510-1515","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["The Role of Human Agency in Human-AI Co-Creativity"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-5369-2323","authenticated-orcid":false,"given":"Sarah H.","family":"Wu","sequence":"first","affiliation":[{"name":"Stanford University, Stanford, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5490-314X","authenticated-orcid":false,"given":"Yuewen","family":"Yang","sequence":"additional","affiliation":[{"name":"Cornell University, Ithaca, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9527-5730","authenticated-orcid":false,"given":"Angela Y.","family":"Lee","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Madison, Madison, Wisconsin, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9871-8130","authenticated-orcid":false,"given":"Alex","family":"Liebscher","sequence":"additional","affiliation":[{"name":"BetterUp, Austin, Texas, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4682-098X","authenticated-orcid":false,"given":"Kristina","family":"Rapuano","sequence":"additional","affiliation":[{"name":"BetterUp, Austin, Texas, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1874-7407","authenticated-orcid":false,"given":"Kate","family":"Niederhoffer","sequence":"additional","affiliation":[{"name":"BetterUp, Austin, Texas, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5367-2677","authenticated-orcid":false,"given":"Jeffrey T.","family":"Hancock","sequence":"additional","affiliation":[{"name":"Stanford University, Stanford, California, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,13]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3635636.3656204"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"crossref","unstructured":"Cindy Candrian and Anne Scherer. 2023. Reactance to human versus artificial intelligence: Why positive and negative information from human and artificial agents leads to different responses. Available at SSRN 4397618 (2023).","DOI":"10.2139\/ssrn.4397618"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","unstructured":"Isabel Corpus Eric Gilbert Allison Koenecke and Mor Naaman. 2026. Introducing AI to an Online Petition Platform Changed Outputs but not Outcomes. arxiv:https:\/\/arXiv.org\/abs\/2511.13949 [cs.CY]10.48550\/arXiv.2511.13949","DOI":"10.48550\/arXiv.2511.13949"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","unstructured":"Anil\u00a0R. Doshi and Oliver\u00a0P. Hauser. 2024. Generative AI enhances individual creativity but reduces the collective diversity of novel content. Science Advances 10 28 (2024) eadn5290. 10.1126\/sciadv.adn5290","DOI":"10.1126\/sciadv.adn5290"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"crossref","unstructured":"Wenting Feng Rungting Tu Tim Lu and Zhimin Zhou. 2019. Understanding forced adoption of self-service technology: the impacts of users\u2019 psychological reactance. Behaviour & Information Technology 38 8 (2019) 820\u2013832.","DOI":"10.1080\/0144929X.2018.1557745"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300619"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/3711896.3737419"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","unstructured":"Erik\u00a0E. Guzik Christian Byrge and Christian Gilde. 2023. The originality of machines: AI takes the Torrance Test. Journal of Creativity 33 3 (2023) 100065. 10.1016\/j.yjoc.2023.100065","DOI":"10.1016\/j.yjoc.2023.100065"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"crossref","unstructured":"Rachel Hartman Aaron Moss Shalom Jaffe Cheskie Rosenzweig Leib Litman and Jonathan Robinson. 2023. Introducing connect by CloudResearch: Advancing online participant recruitment in the digital age. (2023).","DOI":"10.31234\/osf.io\/ksgyr"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","unstructured":"Jon Kleinberg and Manish Raghavan. 2021. Algorithmic monoculture and social welfare. Proceedings of the National Academy of Sciences 118 22 (2021) e2018340118. 10.1073\/pnas.2018340118","DOI":"10.1073\/pnas.2018340118"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","unstructured":"Dmitry Kobak Rita Gonz\u00e1lez-M\u00e1rquez Em\u0151ke-\u00c1gnes Horv\u00e1t and Jan Lause. 2025. Delving into LLM-assisted writing in biomedical publications through excess vocabulary. 11 27 (2025) eadt3813. 10.1126\/sciadv.adt3813","DOI":"10.1126\/sciadv.adt3813"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Angela\u00a0Y Lee and Jeffrey\u00a0T Hancock. 2024. Social media mindsets: A new approach to understanding social media use and psychological well-being. Journal of Computer-Mediated Communication 29 1 (2024) zmad048.","DOI":"10.1093\/jcmc\/zmad048"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","unstructured":"Byung\u00a0Cheol Lee and Jaeyeon\u00a0(Jae) Chung. 2024. An empirical investigation of the impact of ChatGPT on creativity. Nature Human Behaviour 8 10 (2024) 1906\u20131914. 10.1038\/s41562-024-01953-1","DOI":"10.1038\/s41562-024-01953-1"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"crossref","unstructured":"Kevin\u00a0P Madore Helen\u00a0G Jing and Daniel\u00a0L Schacter. 2016. Divergent creative thinking in young and older adults: Extending the effects of an episodic specificity induction. Memory & Cognition 44 6 (2016) 974\u2013988.","DOI":"10.3758\/s13421-016-0605-z"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2504.07139"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","unstructured":"Leland McInnes John Healy and Steve Astels. 2017. hdbscan: Hierarchical density based clustering. The Journal of Open Source Software 2 11 (2017) 205. 10.21105\/joss.00205","DOI":"10.21105\/joss.00205"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Carey\u00a0K Morewedge. 2022. Preference for human not algorithm aversion. Trends in Cognitive Sciences 26 10 (2022) 824\u2013826.","DOI":"10.1016\/j.tics.2022.07.007"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","unstructured":"Gideon Nave Lennart Meincke and Christian Terwiesch. 2024. ChatGPT Decreases Idea Diversity in Brainstorming. 10.31234\/osf.io\/yqb29","DOI":"10.31234\/osf.io\/yqb29"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","unstructured":"Katherine O\u2019Toole and Em\u0151ke-\u00c1gnes Horv\u00e1t. 2024. Extending human creativity with AI. Journal of Creativity 34 2 (2024) 100080. 10.1016\/j.yjoc.2024.100080","DOI":"10.1016\/j.yjoc.2024.100080"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"crossref","unstructured":"Ihor Rudko and Aysan Bashirpour\u00a0Bonab. 2025. ChatGPT is incredible (at being average). Ethics and Information Technology 27 3 (2025) 36.","DOI":"10.1007\/s10676-025-09845-2"},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"crossref","unstructured":"Mark\u00a0A Runco and Robyn\u00a0E Charles. 1993. Judgments of originality and appropriateness as predictors of creativity. Personality and individual differences 15 5 (1993) 537\u2013546.","DOI":"10.1016\/0191-8869(93)90337-3"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"publisher","unstructured":"Jihae Shin and Adam\u00a0M. Grant. 2019. Bored by Interest: How Intrinsic Motivation in One Task Can Reduce Performance on Other Tasks. Academy of Management Journal 62 2 (2019) 415\u2013436. 10.5465\/amj.2017.0735","DOI":"10.5465\/amj.2017.0735"},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"publisher","unstructured":"Veniamin Veselovsky Manoel\u00a0Horta Ribeiro and Robert West. 2023. Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks. arxiv:https:\/\/arXiv.org\/abs\/2306.07899 [cs]10.48550\/arXiv.2306.07899","DOI":"10.48550\/arXiv.2306.07899"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"publisher","unstructured":"Fan Wu Emily Black and Varun Chandrasekaran. 2024. Generative Monoculture in Large Language Models. arxiv:https:\/\/arXiv.org\/abs\/2407.02209 [cs]10.48550\/arXiv.2407.02209","DOI":"10.48550\/arXiv.2407.02209"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","unstructured":"David\u00a0S. Yeager Paul Hanselman Gregory\u00a0M. Walton Jared\u00a0S. Murray Robert Crosnoe Chandra Muller Elizabeth Tipton Barbara Schneider Chris\u00a0S. Hulleman Cintia\u00a0P. Hinojosa David Paunesku Carissa Romero Kate Flint Alice Roberts Jill Trott Ronaldo Iachan Jenny Buontempo Sophia\u00a0Man Yang Carlos\u00a0M. Carvalho P.\u00a0Richard Hahn Maithreyi Gopalan Pratik Mhatre Ronald Ferguson Angela\u00a0L. Duckworth and Carol\u00a0S. Dweck. 2019. A national experiment reveals where a growth mindset improves achievement. Nature 573 7774 (2019) 364\u2013369. 10.1038\/s41586-019-1466-y","DOI":"10.1038\/s41586-019-1466-y"}],"event":{"name":"C&C '26: Creativity and Cognition","location":"London , United Kingdom","acronym":"C&C '26","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 2026 Conference on Creativity and Cognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3803784.3816857","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T15:08:01Z","timestamp":1784041681000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3803784.3816857"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,13]]},"references-count":26,"alternative-id":["10.1145\/3803784.3816857","10.1145\/3803784"],"URL":"https:\/\/doi.org\/10.1145\/3803784.3816857","relation":{},"subject":[],"published":{"date-parts":[[2026,7,13]]},"assertion":[{"value":"2026-07-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}