CHI Conference on Human Factors in Computing Systems 2025 — accepted papers
CHI Conference on Human Factors in Computing Systems 2025 is the 2025 edition of the CHI Conference on Human Factors in Computing Systems. OpenAlex lists 1,249 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
Most cited papers
- The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers ↗Hao-Ping Lee, Advait Sarkar, Lev Tankelevitch et al.502 citations
- The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships ↗Renwen Zhang, Han Zao Li, Han Meng et al.121 citations
- AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances ↗Dhruv Agarwal, Mor Naaman, Aditya Vashistha93 citations
- AppAgent: Multimodal Agents as Smartphone Users ↗Chi Zhang, Zhao Yang, Jiaxuan Liu et al.60 citations
- Participatory Design in Human-Computer Interaction: Cases, Characteristics, and Lessons ↗Xiang Qi, Junnan Yu58 citations
- Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies ↗Sunnie S. Y. Kim, Jennifer Wortman Vaughan, Q. Vera Liao et al.57 citations
- GPTCoach: Towards LLM-Based Physical Activity Coaching ↗Matthew Jörke, Shardul Sapkota, Lyndsea Warkenthien et al.55 citations
- Generative Ghosts: Anticipating Benefits and Risks of AI Afterlives ↗Meredith Ringel Morris, Jed R. Brubaker54 citations
- Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent Thinking ↗Harsh Kumar, Jonathan Vincentius, Ewan Jordan et al.52 citations
- Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review ↗Rock Yuren Pang, Hope Schroeder, Kynnedy Simone Smith et al.52 citations
All accepted papers (1,249)
- The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers ↗Hao-Ping Lee, Advait Sarkar, Lev Tankelevitch et al.502 citations
- The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships ↗Renwen Zhang, Han Zao Li, Han Meng et al.121 citations
- AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances ↗Dhruv Agarwal, Mor Naaman, Aditya Vashistha93 citations
- AppAgent: Multimodal Agents as Smartphone Users ↗Chi Zhang, Zhao Yang, Jiaxuan Liu et al.60 citations
- Participatory Design in Human-Computer Interaction: Cases, Characteristics, and Lessons ↗Xiang Qi, Junnan Yu58 citations
- Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies ↗Sunnie S. Y. Kim, Jennifer Wortman Vaughan, Q. Vera Liao et al.57 citations
- GPTCoach: Towards LLM-Based Physical Activity Coaching ↗Matthew Jörke, Shardul Sapkota, Lyndsea Warkenthien et al.55 citations
- Generative Ghosts: Anticipating Benefits and Risks of AI Afterlives ↗Meredith Ringel Morris, Jed R. Brubaker54 citations
- Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent Thinking ↗Harsh Kumar, Jonathan Vincentius, Ewan Jordan et al.52 citations
- Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review ↗Rock Yuren Pang, Hope Schroeder, Kynnedy Simone Smith et al.52 citations
- AIdeation: Designing a Human-AI Collaborative Ideation System for Concept Designers ↗Wen-Fan Wang, Chien-Ting Lu, Nil Ponsa i Campanyà et al.49 citations
- Large Language Models in Qualitative Research: Uses, Tensions, and Intentions ↗Hope Schroeder, Marianne Aubin Le Quéré, Casey Randazzo et al.48 citations
- Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling ↗Victor Ojewale, Ryan Steed, Briana Vecchione et al.48 citations
- Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making ↗Shuai Ma, Qiaoyi Chen, Xinru Wang et al.48 citations
- Customizing Emotional Support: How Do Individuals Construct and Interact With LLM-Powered Chatbots ↗Xi Zheng, Zhuoyang Li, Xinning Gui et al.47 citations
- Designing Conversational AI for Aging: A Systematic Review of Older Adults' Perceptions and Needs ↗Huang Yuan-hui, Quan Zhou, Anne Marie Piper42 citations
- Exploring Positionality in HCI: Perspectives, Trends, and Challenges ↗Aneesha Singh, Martin Dechant, Dilisha Patel et al.42 citations
- LLM Integration in Extended Reality: A Comprehensive Review of Current Trends, Challenges, and Future Perspectives ↗Yiliu Tang, Jason Situ, Andrea Yaoyun Cui et al.40 citations
- Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation ↗Jessica He, Stephanie Houde, Justin D. Weisz36 citations
- Interactive Debugging and Steering of Multi-Agent AI Systems ↗Will Epperson, Gagan Bansal, Victor C. Dibia et al.35 citations
- As Confidence Aligns: Understanding the Effect of AI Confidence on Human Self-confidence in Human-AI Decision Making ↗Jingshu Li, Yitian Yang, Q. Vera Liao et al.34 citations
- To Rely or Not to Rely? Evaluating Interventions for Appropriate Reliance on Large Language Models ↗Jessica Y. Bo, Sophia Wan, Ashton Anderson34 citations
- Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills ↗Zana Buçinca, Siddharth Swaroop, Amanda E. Paluch et al.33 citations
- Deceptive Explanations by Large Language Models Lead People to Change their Beliefs About Misinformation More Often than Honest Explanations ↗Valdemar Danry, Pat Pataranutaporn, Matthew Groh et al.33 citations
- Proactive Conversational Agents with Inner Thoughts ↗Xingyu Liu, Shitao Fang, Weiyan Shi et al.33 citations
Papers with our summary in our library (2)
- Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage ProfessionalsCHI Conference on Human Factors in Computing SystemsLucy Havens, Benjamin Bach, Melissa Terras, et al.2025 · 2 citations
- Unknown Word Detection for English as a Second Language (ESL) Learners Using Gaze and Pre-trained Language ModelsCHI Conference on Human Factors in Computing SystemsJiexin Ding, Bowen Zhao, Yuntao Wang, et al.2025
Top topics
English (2)Grammatical error correction & learner language (1)
Fields
Computer Science (2)Arts and Humanities (1)Psychology (1)Social Sciences (1)
Top authors
🧑🔬Beatrice Alex1 work here · 2 citations🧑🔬Benjamin Bach1 work here · 2 citations🧑🔬Lucy Havens1 work here · 2 citations🧑🔬Melissa Terras1 work here · 2 citations🧑🔬Bowen Zhao1 work here🧑🔬Jiexin Ding1 work here🧑🔬Yuanchun Shi1 work here🧑🔬Yuntao Wang1 work here
Top institutions
🔬Institut national de recherche en sciences et technologies du numériqueLe Chesnay-Rocquencourt ·
France1 work here🎓University of WashingtonSeattle ·
United States1 work here🎓University of Chinese Academy of SciencesBeijing ·
China1 work here🎓Rice UniversityHouston ·
United States1 work here🎓University of EdinburghEdinburgh ·
United Kingdom1 work here🎓Tsinghua UniversityBeijing ·
China1 work here
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