mlsanityData to 14 Oct 2026

Human-AI Interactions: Cognitive, Behavioral, and Emotional Impacts

arXiv 2510.17753 ↗First posted 20 Oct 2025cs.HC cs.AI cs.CYcited by 3

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Abstract (arXiv)

As stories of human-AI interactions continue to be highlighted in the news and research platforms, the challenges are becoming more pronounced, including potential risks of overreliance, cognitive offloading, social and emotional manipulation, and the nuanced degradation of human agency and judgment. This paper surveys recent research on these issues through the lens of the psychological triad: cognition, behavior, and emotion. Observations seem to suggest that while AI can substantially enhance memory, creativity, and engagement, it also introduces risks such as diminished critical thinking, skill erosion, and increased anxiety. Emotional outcomes are similarly mixed, with AI systems showing promise for support and stress reduction, but raising concerns about dependency, inappropriate attachments, and ethical oversight. This paper aims to underscore the need for responsible and context-aware AI design, highlighting gaps for longitudinal research and grounded evaluation frameworks to balance benefits with emerging human-centric risks.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 10 of its 85 references that are in the map. First posted on arXiv 20 Oct 2025.

Builds on

10 of 85 references.

References · 10

  1. 2023Generative artificial intelligence enhances creativity but reduces the diversity of novel contentcited by 167
  2. 2025Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Taskcited by 106
  3. 2024AI-Augmented Brainwriting: Investigating the use of LLMs in group ideationcited by 44
  4. 2024The Effects of Generative AI on Design Fixation and Divergent Thinkingcited by 37
  5. 2025Generalization Bias in Large Language Model Summarization of Scientific Researchcited by 30
  6. 2021Artificial intelligence in communication impacts language and social relationshipscited by 22
  7. 2025Protecting Human Cognition in the Age of AIcited by 12
  8. 2023Proactive and Reactive Engagement of Artificial Intelligence Methods for Education: A Reviewcited by 5
  9. 2025Enhancing Student Learning with LLM-Generated Retrieval Practice Questions: An Empirical Study in Data Science Coursescited by 2
  10. 2024Exploring the Factors of "AI Guilt" Among Students -- Are You Guilty of Using AI in Your Homework?cited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 3.

3 papers.