TY - GEN
T1 - Creativity Support in the Age of Large Language Models
T2 - 16th Conference on Creativity and Cognition, C and C 2024
AU - Chakrabarty, Tuhin
AU - Padmakumar, Vishakh
AU - Brahman, Faeze
AU - Muresan, Smaranda
N1 - Publisher Copyright:
© 2024 ACM.
PY - 2024/6/23
Y1 - 2024/6/23
N2 - 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.
AB - 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.
KW - Co-Creativity
KW - Computational Creativity
KW - Creativity
KW - Evaluation
KW - Human-AI collaboration
KW - Large Language Models
KW - Natural Language Generation
KW - StoryTelling
UR - https://www.scopus.com/pages/publications/85183299799
U2 - 10.1145/3635636.3656201
DO - 10.1145/3635636.3656201
M3 - Conference contribution
AN - SCOPUS:85183299799
T3 - ACM International Conference Proceeding Series
SP - 132
EP - 155
BT - C and C 2024 - Proceedings of the 16th Conference on Creativity and Cognition
PB - Association for Computing Machinery
Y2 - 23 June 2024 through 26 June 2024
ER -