Cognitive Spillover in Human-AI Teams
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Abstract (arXiv)
AI is not only a neutral tool in team settings; it influence the social and cognitive fabric of collaboration. Across two randomized experiments, we demonstrate that AI exposure produces causal spillover into human-human interaction -- affecting shared language, collective attention, shared mental models, and social cohesion. These spillover effects occur robustly across settings, modalities, tasks, and AI qualities, suggesting that mere exposure to AI drives the influence. AI functions as an implicit ``social forcefield,'' influencing not only how people speak, but also how they think, what they attend to, and how they relate to each other. We argue for shifting the design paradigm from optimizing ``AI as a tool'' to understanding AI as a socially influential actor whose effects extend beyond the human-AI interface.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 13 of its 141 references that are in the map. First posted on arXiv 3 Jul 2024.
Builds on
13 of 141 references.
References · 13
- 2017Attention Is All You Needcited by 59,932
- 2019Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AIcited by 79
- 2022Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systemscited by 59
- 2022Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Makingcited by 33
- 2021From partners to populations: A hierarchical Bayesian account of coordination and conventioncited by 27
- 2023Generation Probabilities Are Not Enough: Uncertainty Highlighting in AI Code Completionscited by 20
- 2021Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebookscited by 17
- 2019Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-ended Questionscited by 16
- 2024Prompting Diverse Ideas: Increasing AI Idea Variancecited by 13
- 2022The Placebo Effect of Artificial Intelligence in Human-Computer Interactioncited by 9
- 2021Improving Users' Mental Model with Attention-directed Counterfactual Editscited by 5
- 2018Entrainment profiles: Comparison by gender, role, and feature setcited by 3
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Citing papers per year: 2026: 3.
3 papers.
- 2026A Dynamic-Semantics Framework for Grounding Human Referring Expressions in Visual Perceptual Datacited by 0
- 2026Deflecting the Value Compass: Interacting with Large Language Models Temporarily Shifts Human Value Priorities Toward Personal Focuscited by 0
- 2026Working with Agentic `Teammates': When a New Organizational Actor Collides with the Human Ecosystem of Workcited by 0
- 2026Working with Agentic `Teammates': When a New Organizational Actor Collides with the Human Ecosystem of Work24 Sep 2026
- 2026Deflecting the Value Compass: Interacting with Large Language Models Temporarily Shifts Human Value Priorities Toward Personal Focus22 Sep 2026
- 2026A Dynamic-Semantics Framework for Grounding Human Referring Expressions in Visual Perceptual Data9 Aug 2026