Inspo: Writing Stories with a Flock of AIs and Humans
CoRR(2023)
摘要
Large Language Models (LLMs) have advanced automated writing assistance,
enabling complex tasks like co-writing novels and poems. However, real-world
writing typically requires various support and collaboration across stages and
scenarios. Existing research mainly examines how writers utilize single text
generators, neglecting this broader context. This paper introduces Inspo, a
web-based editor that incorporates various text generators and online crowd
workers. Through a three-phase user study, we examine writers' interactions
with Inspo for novel writing. Quantitative analyses of writing logs highlight
changes in participants' writing progress and the influence of various
text-generation models. Complementing this with qualitative insights from
semi-structured interviews, we illustrate participants' perceptions of these
models and the crowd. Based on the findings, we provide design recommendations
for the next generation of intelligent writing tools and discuss the potential
sociocultural implications of integrating AI and human input in the writing
process.
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