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Many AI systems focus solely on providing solutions or explaining outcomes. However, complex tasks like research and strategic thinking often benefit from a more comprehensive approach to augmenting the thinking process rather than…

Human-Computer Interaction · Computer Science 2024-12-25 Soya Park , Hari Subramonyam , Chinmay Kulkarni

Generative AI (GenAI) tools are radically expanding the scope and capability of automation in knowledge work such as academic research. While promising for augmenting cognition and streamlining processes, AI-assisted research tools may also…

Human-Computer Interaction · Computer Science 2025-04-22 Runlong Ye , Matthew Varona , Oliver Huang , Patrick Yung Kang Lee , Michael Liut , Carolina Nobre

The rise of Generative AI, and Large Language Models (LLMs) in particular, is fundamentally changing cognitive processes in knowledge work, raising critical questions about their impact on human reasoning and problem-solving capabilities.…

Human-Computer Interaction · Computer Science 2025-04-04 Joshua Holstein , Moritz Diener , Philipp Spitzer

Generative AI models differ from traditional machine learning tools in that they allow users to provide as much or as little information as they choose in their inputs. This flexibility often leads users to omit certain details, relying on…

Computer Science and Game Theory · Computer Science 2026-05-13 Charlotte Park , Kate Donahue , Manish Raghavan

Current generative AI models like ChatGPT, Claude, and Gemini are widely used for knowledge dissemination, task decomposition, and creative thinking. However, their linear interaction methods often force users to repeatedly compare and copy…

Human-Computer Interaction · Computer Science 2024-10-16 Rui Zhang , Ziyao Zhang , Fengliang Zhu , Jiajie Zhou , Anyi Rao

We present Thinking with Generated Images, a novel paradigm that fundamentally transforms how large multimodal models (LMMs) engage with visual reasoning by enabling them to natively think across text and vision modalities through…

Computer Vision and Pattern Recognition · Computer Science 2025-05-29 Ethan Chern , Zhulin Hu , Steffi Chern , Siqi Kou , Jiadi Su , Yan Ma , Zhijie Deng , Pengfei Liu

Ideas generated by independent samples of humans tend to be more diverse than ideas generated from independent LLM samples, raising concerns that widespread reliance on LLMs could homogenize ideation and undermine innovation at a societal…

Computers and Society · Computer Science 2026-02-25 Yuting Deng , Melanie Brucks , Olivier Toubia

Information graphics are pivotal in effective information dissemination and storytelling. However, creating such graphics is extremely challenging for non-professionals, since the design process requires multifaceted skills and…

Human-Computer Interaction · Computer Science 2024-01-25 Qirui Huang , Min Lu , Joel Lanir , Dani Lischinski , Daniel Cohen-Or , Hui Huang

Ideation is a critical component of video-based design (VBD), where videos serve as the primary medium for design exploration and inspiration. The emergence of generative AI offers considerable potential to enhance this process by…

Human-Computer Interaction · Computer Science 2024-11-07 Tianhao He , Andrija Stankovic , Evangelos Niforatos , Gerd Kortuem

New systems employ Machine Learning to sift through large knowledge sources, creating flexible Large Language Models. These models discern context and predict sequential information in various communication forms. Generative AI, leveraging…

Artificial Intelligence · Computer Science 2023-07-19 Ted Selker

In AI-assisted decision-making, humans often passively review AI's suggestion and decide whether to accept or reject it as a whole. In such a paradigm, humans are found to rarely trigger analytical thinking and face difficulties in…

Human-Computer Interaction · Computer Science 2025-03-13 Shuai Ma , Qiaoyi Chen , Xinru Wang , Chengbo Zheng , Zhenhui Peng , Ming Yin , Xiaojuan Ma

The integration of AI assistants into software development workflows is rapidly evolving, shifting from automation-assisted tasks to collaborative interactions between developers and AI. Large Language Models (LLMs) have demonstrated their…

Software Engineering · Computer Science 2025-06-16 Benedetta Donato , Leonardo Mariani , Daniela Micucci , Oliviero Riganelli , Marco Somaschini

Scientific progress depends on the continual generation of innovative re-search ideas. However, the rapid growth of scientific literature has greatly increased the cost of knowledge filtering, making it harder for researchers to identify…

Computation and Language · Computer Science 2026-04-23 Shuai Chen , Chengzhi Zhang

Large language models (LLMs) have demonstrated remarkable potential in natural language understanding and generation, making them valuable tools for enhancing conversational interactions. However, LLMs encounter challenges such as lacking…

Human-Computer Interaction · Computer Science 2023-11-10 Guinan Su , Yanwu Yang , Jie Guo

Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and generation, including multi-step reasoning such as mathematical proving. However, existing approaches often lack an explicit and…

Computation and Language · Computer Science 2026-05-19 Yutong Li , Yitian Zhou , Xudong Wang , GuoChen , Caiyan Qin

Entrepreneurship requires navigating open-ended, ill-defined problems: identifying risks, challenging assumptions, and making strategic decisions under deep uncertainty. Novice founders often struggle with these metacognitive demands, while…

Human-Computer Interaction · Computer Science 2025-08-18 Evey Jiaxin Huang , Matthew Easterday , Elizabeth Gerber

Large Language Models (LLMs) are widely used by students, yet their tendency to provide fast and complete answers may discourage reflection and foster overconfidence. We examined how alternative LLM interaction designs support deeper…

Human-Computer Interaction · Computer Science 2026-04-13 Elena Eleftheriou , George Pallis , Marios Constantinides

Novel research ideas play a critical role in advancing scientific inquiries. Recent advancements in Large Language Models (LLMs) have demonstrated their potential to generate novel research ideas by leveraging large-scale scientific…

Artificial Intelligence · Computer Science 2025-11-05 Keyu Zhao , Weiquan Lin , Qirui Zheng , Fengli Xu , Yong Li

Generative AI systems have been heralded as tools for augmenting human creativity and inspiring divergent thinking, though with little empirical evidence for these claims. This paper explores the effects of exposure to AI-generated images…

Human-Computer Interaction · Computer Science 2024-03-19 Samangi Wadinambiarachchi , Ryan M. Kelly , Saumya Pareek , Qiushi Zhou , Eduardo Velloso

The field of Artificial Intelligence (AI) continues to drive transformative innovations, with significant progress in conversational interfaces, autonomous vehicles, and intelligent content creation. Since the launch of ChatGPT in late…

Computation and Language · Computer Science 2025-01-13 Hussain Ahmad , Diksha Goel