Temporal Dynamics of Affective Contagion in Human-AI Teams
This research examines whether and how emotional states spread between human team members and AI agents during collaborative tasks, and what mechanisms facilitate or inhibit this contagion. The investigation produces temporal models of affective influence in mixed human-AI systems and reveals design principles for managing emotional dynamics in human-centered AI collaboration.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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