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Creativity Support in the Age of Large Language Models: An Empirical Study Involving Professional Writers

  • New York University
  • The Allen Institute for Artificial Intelligence
  • Columbia University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

60 Scopus citations

Abstract

The development of large language models (LLMs) capable of following instructions and engaging in conversational interactions has led to increased interest in their use across various support tools. We investigate the effectiveness of contemporary LLMs in assisting professional writers via an empirical user study (n=30). The design of our collaborative writing interface is grounded in the cognitive process model of writing [17]. This allows writers to obtain model help in each of the three non-linear cognitive activities in the writing process: planning, translating and reviewing. Participants write short fiction/non-fiction with model help and are subsequently asked to submit a post-completion survey to provide qualitative feedback on the potential and pitfalls of LLMs as writing collaborators. Upon analyzing the writer-LLM interactions, we find that while seeking help across all three types of cognitive activities, writers find LLMs more helpful in translation and reviewing. Our findings from analyzing both the interactions and the survey responses highlight future research directions in creative writing assistance using LLMs.

Original languageEnglish
Title of host publicationC and C 2024 - Proceedings of the 16th Conference on Creativity and Cognition
PublisherAssociation for Computing Machinery
Pages132-155
Number of pages24
ISBN (Electronic)9781450383769
DOIs
StatePublished - Jun 23 2024
Event16th Conference on Creativity and Cognition, C and C 2024 - Chicago, United States
Duration: Jun 23 2024Jun 26 2024

Publication series

NameACM International Conference Proceeding Series

Conference

Conference16th Conference on Creativity and Cognition, C and C 2024
Country/TerritoryUnited States
CityChicago
Period06/23/2406/26/24

Keywords

  • Co-Creativity
  • Computational Creativity
  • Creativity
  • Evaluation
  • Human-AI collaboration
  • Large Language Models
  • Natural Language Generation
  • StoryTelling

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