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Large language models (LLMs) are now being used in a wide variety of contexts, including as creativity support tools (CSTs) intended to help their users come up with new ideas.
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Mapping the landscape of creativity support tools in HCI. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
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Experimental Narratives: A Comparison of Human Crowdsourced Storytelling and AI Storytelling
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Interacting with Next-Phrase Suggestions: How Suggestion Systems Aid and Influence the Cognitive Processes of Writing. In Proceedings of the 28th International Conference on Intelligent User Interfaces . 436–452
Advait Bhat, Saaket Agashe, Parth Oberoi, Niharika Mohile, Ravi Jangir, and Anirudha Joshi. 2023 · 2023
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Quality-Diversity through AI Feedback
Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth Stanley, Grégory Schott, and Joel Lehman. 2023 · 2023
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Art or Artifice? Large Language Models and the False Promise of Creativity
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Do Massively Pretrained Language Models Make Better Storytellers? In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) . Association for Computational Linguistics, 843–861
Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, and Christopher D Manning. 2019 · 2019
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Machine heuristic: When we trust computers more than humans with our personal information. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
S Shyam Sundar and Jinyoung Kim. 2019 · 2019
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Investigating underdetermination through interactive computational handweaving. In Conference on Designing Interactive Systems . 1033–1046
Lea Albaugh, Scott E Hudson, Lining Yao, and Laura Devendorf. 2020 · 2020
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Predictive text encourages predictable writing. In Proceedings of the 25th International Conference on Intelligent User Interfaces . 128–138
Kenneth C Arnold, Krysta Chauncey, and Krzysztof Z Gajos. 2020 · 2020
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How Novelists Use Generative Language Models: An Exploratory User Study. In Workshop on Human-AI Co-Creation with Generative Models (HAI-GEN 2020)
Alex Calderwood, Vivian Qiu, Katy Ilonka Gero, and Lydia B Chilton. 2020 · 2020
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AI-mediated communication: Definition, research agenda, and ethical considerations
Jeffrey T Hancock, Mor Naaman, and Karen Levy. 2020 · 2020
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Germinate: A mixed-initiative casual creator for rhetorical games. In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment , Vol. 16. 102–108
Max Kreminski, Melanie Dickinson, Joseph Osborn, Adam Summerville, Michael Mateas, and Noah Wardrip-Fruin. 2020 · 2020
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Evaluating creativity support tools in HCI research. In Proceedings of the 2020 ACM Designing Interactive Systems Conference . 457–476
Christian Remy, Lindsay MacDonald Vermeulen, Jonas Frich, Michael Mose Biskjaer, and Peter Dalsgaard. 2020 · 2020
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PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactions. In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
John Joon Young Chung and Eytan Adar. 2023 · 2023
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Can ChatGPT Make Me a Better Cook?
Alexandra Domrongchai. 2023 · 2023
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Generative artificial intelligence enhances creativity
Anil R Doshi and Oliver Hauser. 2023 · 2023
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Art and the science of generative AI
Ziv Epstein, Aaron Hertzmann, and Investigators of Human Creativity. 2023 · 2023
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Algorithmic loafing and mitigation strategies in Human-AI teams
Isa Inuwa-Dutse, Alice Toniolo, Adrian Weller, and Umang Bhatt. 2023 · 2023
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Co-writing with opinionated language models affects users’ views. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Maurice Jakesch, Advait Bhat, Daniel Buschek, Lior Zalmanson, and Mor Naaman. 2023 · 2023
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The Model is the Message. In The Second Workshop on Intelligent and Interactive Writing Assistants
Isabelle Levent and Lila Shroff. 2023 · 2023
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Beyond the Artifact: Power as a Lens for Creativity Support Tools. In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
Jingyi Li, Eric Rawn, Jacob Ritchie, Jasper Tran O’Leary, and Sean Follmer. 2023 · 2023
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Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry Professionals. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Piotr Mirowski, Kory W Mathewson, Jaylen Pittman, and Richard Evans. 2023 · 2023
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State of What Art? A Call for Multi-Prompt LLM Evaluation
Moran Mizrahi, Guy Kaplan, Dan Malkin, Rotem Dror, Dafna Shahaf, and Gabriel Stanovsky. 2023 · 2023
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On-boarding your AI Intern
Ethan Mollick. 2023 · 2023
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MTEB: Massive Text Embedding Benchmark. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics . Association for Computational Linguistics, 2014–2037
Niklas Muennighoff, Nouamane Tazi, Loic Magne, and Nils Reimers. 2023 · 2023
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Campaign Prep with ChatGPT
Matthew J Neagley. 2023 · 2023
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Representation biases in sentence transformers
Dmitry Nikolaev and Sebastian Padó. 2023 · 2023
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ChatGPT: A Large-Scale Conversational Language Model
OpenAI. 2023 · 2023
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Does Writing with Language Models Reduce Content Diversity?
Vishakh Padmakumar and He He. 2023 · 2023
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Where to hide a stolen elephant: Leaps in creative writing with multimodal machine intelligence
Nikhil Singh, Guillermo Bernal, Daria Savchenko, and Elena L Glassman. 2023 · 2023
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Sangho Suh, Meng Chen, Bryan Min, Toby Jia-Jun Li, and Haijun Xia. 2023 · 2023
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Inspire Creativity with ORIBA: Transform Artists’ Original Characters into Chatbots through Large Language Model. In Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (UbiComp/ISWC ’23 Adjunct) . 78–82
Yuqian Sun, Xingyu Li, Jun Peng, and Ze Gao. 2023 · 2023
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Qian Wan, Siying Hu, Yu Zhang, Piaohong Wang, Bo Wen, and Zhicong Lu. 2023 · 2023
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GANCollage: A GAN-Driven Digital Mood Board to Facilitate Ideation in Creativity Support. In Proceedings of the 2023 ACM Designing Interactive Systems Conference . 136–146
Qian Wan and Zhicong Lu. 2023 · 2023
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Why Johnny can’t prompt: how non-AI experts try (and fail) to design LLM prompts. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
JD Zamfirescu-Pereira, Richmond Y Wong, Bjoern Hartmann, and Qian Yang. 2023 · 2023
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The Dearth of the Author in AI-Supported Writing
Max Kreminski. 2024 · 2024
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Intent Elicitation in Mixed-Initiative Co-Creativity. In Joint Proceedings of the ACM IUI Workshops
Max Kreminski and John Joon Young Chung. 2024 · 2024
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A Design Space for Intelligent and Interactive Writing Assistants. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’24) . Association for Computing Machinery, New York, NY, USA
Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L.C. Guo, Md Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Antonette Shibani, Disha Shrivastava, Lila Shroff, Agnia Sergeyuk, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Zejiang Shen, and Pao Siangliulue. 2024 · 2024
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