Human-AI Interactions: Cognitive, Behavioral, and Emotional Impacts
October 20, 2025 Β· Declared Dead Β· π arXiv.org
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Authors
Celeste Riley, Omar Al-Refai, Yadira Colunga Reyes, Eman Hammad
arXiv ID
2510.17753
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.CY
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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.
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