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语言作为创造性大语言模型交互的物质界面

Language as a Material Interface for Creative LLM Interaction

Jon McCormack, Tace McNamara, Chen Wang, Maria Teresa Llano

arXiv 2607.24753首次发表:更新:

发表机构

Monash University; University of Sussex(莫纳什大学; 萨塞克斯大学)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

研究探讨创造性从业者如何将语言当作物质与人工智能合作,通过对四位从业者进行两周生态研究,借助“模因混合器”分析后访谈和设备日志,确定物质语言使用模式和时间维度,为创造性实践中与人工智能的开放式交互提供设计考量。

AI 中文摘要

尽管指令提示是与大语言模型(LLM)交互的主要方式,但许多创造性实践依赖于开放式、联想性、音韵美学、象征性且跨越多个时间维度的语言。本研究探讨当语言不仅被视为指令,还被当作物质时,创造性从业者如何与人工智能系统合作。通过对四位创造性从业者进行为期两周的生态研究,使用设计探针“模因混合器”(一种有形交互设备)来限制与LLM的交互。通过对研究后访谈和设备日志的分析,确定了物质语言使用的不同模式和时间维度,这些模式和维度塑造了每个参与者与人工智能的互动及其创造性实践。我们反思这些发现,并提出在创造性实践中支持与人工智能进行开放式交互的设计考量。

英文摘要

Although directive prompting is the predominant way to interact with Large Language Models (LLMs), many creative practices rely on language that is open-ended, associative, phonaesthetic, symbolic, and that unfolds across multiple temporalities. In this work, we explore how creative practitioners might work with AI systems when language is treated not merely as instruction but as material. We conducted an ecological two-week study with four creative practitioners using a design probe: the Memetic Mixer, a tangible interactive device that constrains interaction with an LLM. Analysis of post-study interviews and device logs identified distinct modes of material language use and temporalities that shaped each participant's engagement with AI and their creative practice. We reflect on these findings and contribute design considerations that support open-ended interaction with AI in creative practice.

CommentsPaper accepted at Creativity and Cognition '26, London 13-16 July 2026

论文原文

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