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

被引:1
作者
Chakrabarty, Tuhin [1 ]
Padmakumar, Vishakh [2 ]
Brahman, Faeze [3 ]
Muresan, Smaranda [1 ]
机构
[1] Columbia Univ, New York, NY 10027 USA
[2] NYU, New York, NY 10003 USA
[3] Allen Inst Artificial Intelligence, Seattle, WA USA
来源
PROCEEDINGS OF THE 16TH CONFERENCE ON CREATIVITY AND COGNITION, C&C 2024 | 2024年
关键词
Human-AI collaboration; Co-Creativity; Computational Creativity; Large Language Models; StoryTelling; Natural Language Generation; Evaluation; Creativity;
D O I
10.1145/3635636.3656201
中图分类号
J [艺术];
学科分类号
13 ; 1301 ;
摘要
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.
引用
收藏
页码:132 / 155
页数:24
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