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Large language models are transforming the creative process by offering unprecedented capabilities to algorithmically generate ideas. While these tools can enhance human creativity when people co-create with them, it's unclear how this will…

人机交互 · 计算机科学 2025-02-18 Harsh Kumar , Jonathan Vincentius , Ewan Jordan , Ashton Anderson

The impact of large language models (LLMs) on critical thinking has provoked growing attention, yet this impact on actual performance may not be uniformly negative or positive. Particularly, the role of time -- the temporal context under…

人机交互 · 计算机科学 2026-03-11 Jiayin Zhi , Harsh Kumar , Mina Lee

The development of large language models (LLMs) capable of following instructions and engaging in conversational interactions sparked increased interest in their utilization across various support tools. We investigate the utility of modern…

人机交互 · 计算机科学 2024-01-31 Tuhin Chakrabarty , Vishakh Padmakumar , Faeze Brahman , Smaranda Muresan

The growing availability of generative AI technologies such as large language models (LLMs) has significant implications for creative work. This paper explores twofold aspects of integrating LLMs into the creative process - the divergence…

人机交互 · 计算机科学 2024-03-04 Orit Shaer , Angelora Cooper , Osnat Mokryn , Andrew L. Kun , Hagit Ben Shoshan

Large Language Models (LLMs) have shown capabilities close to human performance in various analytical tasks, leading researchers to use them for time and labor-intensive analyses. However, their capability to handle highly specialized and…

计算与语言 · 计算机科学 2024-10-08 Alexander S. Choi , Syeda Sabrina Akter , JP Singh , Antonios Anastasopoulos

Large language models (LLMs) are now being used in a wide variety of contexts, including as creativity support tools (CSTs) intended to help their users come up with new ideas. But do LLMs actually support user creativity? We hypothesized…

人机交互 · 计算机科学 2024-05-14 Barrett R. Anderson , Jash Hemant Shah , Max Kreminski

We present a comprehensive, in-depth review of ideation assisted by large language models (LLMs), highlighting emerging trends and identifying unaddressed research gaps. In total, we examined 61 studies investigating the application of LLMs…

人机交互 · 计算机科学 2025-07-29 Sitong Li , Stefano Padilla , Pierre Le Bras , Junyu Dong , Mike Chantler

Prewriting is the process of discovering and developing ideas before a first draft, which requires divergent thinking and often implies unstructured strategies such as diagramming, outlining, free-writing, etc. Although large language…

人机交互 · 计算机科学 2024-03-01 Qian Wan , Siying Hu , Yu Zhang , Piaohong Wang , Bo Wen , Zhicong Lu

Generative artificial intelligence (GenAI) can rapidly produce large and diverse volumes of content. This lends to it a quality of creativity which can be empowering in the early stages of design. In seeking to understand how creative ways…

人机交互 · 计算机科学 2024-03-20 Gionnieve Lim , Simon T. Perrault

Large Language Models (LLMs) have shown promise in accelerating the scientific research pipeline. A key capability for this process is the ability to generate novel research ideas, and prior studies have found settings in which…

计算与语言 · 计算机科学 2025-06-27 Chenglei Si , Tatsunori Hashimoto , Diyi Yang

Large language models (LLMs) have the potential to boost human productivity by speeding up task completion -- provided users know when to offload cognitive work to them. But we do not know if users are well-calibrated in estimating these…

计算机与社会 · 计算机科学 2026-05-25 Sunny Yu , Myra Cheng , Ahmad Jabbar , Ilia Sucholutsky , Katherine M. Collins , Dan Jurafsky , Robert D. Hawkins

Recent advancements in large language models (LLMs) demonstrate strong potential for generating novel research ideas, yet such ideas often struggle with feasibility and effectiveness. In this paper, we investigate whether augmenting LLMs…

计算与语言 · 计算机科学 2026-03-03 Xiao Liu , Xinyi Dong , Xinyang Gao , Yansong Feng , Xun Pang

Large language models (LLMs) show strong potential to support creative tasks, but the role of the interface design is poorly understood. In particular, the effect of different modes of collaboration between humans and LLMs on co-creation…

人机交互 · 计算机科学 2026-03-10 Sebastian Maier , Manuel Schneider , Stefan Feuerriegel

Sense of ownership in writing confines our investment of thoughts, time, and contribution, leading to attachment to the output. However, using writing assistants introduces a mental dilemma, as some content isn't directly our creation. For…

人机交互 · 计算机科学 2024-10-17 Azmine Toushik Wasi , Mst Rafia Islam , Raima Islam

Large Language Models (LLMs) have introduced a paradigm shift in interaction with AI technology, enabling knowledge workers to complete tasks by specifying their desired outcome in natural language. LLMs have the potential to increase…

人机交互 · 计算机科学 2025-03-24 Michelle Brachman , Amina El-Ashry , Casey Dugan , Werner Geyer

Large language models (LLMs) are used by over a billion people globally, most often to assist with writing. In this work, we demonstrate that LLMs not only alter the voice and tone of human writing, but also consistently alter the intended…

计算与语言 · 计算机科学 2026-03-20 Marwa Abdulhai , Isadora White , Yanming Wan , Ibrahim Qureshi , Joel Leibo , Max Kleiman-Weiner , Natasha Jaques

Large Language Models (LLMs) are important tools for reasoning and problem-solving, while they often operate passively, answering questions without actively discovering new ones. This limitation reduces their ability to simulate human-like…

计算工程、金融与科学 · 计算机科学 2025-09-26 Hong Su

Large language models (LLMs) are increasingly integrated into a variety of writing tasks. While these tools can help people by generating ideas or producing higher quality work, like many other AI tools they may risk causing a variety of…

人机交互 · 计算机科学 2025-03-21 Kowe Kadoma , Danaé Metaxa , Mor Naaman

Numerous powerful large language models (LLMs) are now available for use as writing support tools, idea generators, and beyond. Although these LLMs are marketed as helpful creative assistants, several works have shown that using an LLM as a…

计算机与社会 · 计算机科学 2025-02-03 Emily Wenger , Yoed Kenett

Although capable of generating creative text, Large Language Models (LLMs) are poor judges of what constitutes "creativity". In this work, we show that we can leverage this knowledge of how to write creatively in order to better judge what…

计算与语言 · 计算机科学 2024-12-10 Matthew Lyle Olson , Neale Ratzlaff , Musashi Hinck , Shao-yen Tseng , Vasudev Lal
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