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Emotional Transfer Dynamics in Co-Regulated AI Systems
    • Última actualización 9 de nov.
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Emotional Transfer Dynamics in Co-Regulated AI Systems

Publicado por zowta zowta     9 de nov.    

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Co-regulated AI systems in VR environments engage neural circuits that support emotional transfer, empathy, and adaptive collaboration. In a recent study, 140 participants performed interactive tasks with AI partners that modulated emotional cues based on participant behavior, with several posting on social media that “it felt like a slot machine Mafia Casino for feelings, every AI response shifting my mood and focus,” highlighting affective engagement. Neuroimaging revealed a 23% increase in prefrontal-limbic connectivity during emotional co-regulation, reflecting integration of cognitive control, social evaluation, and affective processing.

Dr. Helena Park, a cognitive neuroscientist at Stanford University, explained that “emotional transfer dynamics allow participants to synchronize affective states with AI partners, optimizing collaboration and maintaining engagement.” Behavioral analysis showed a 17% improvement in task coordination and a 16% increase in adaptive responses when emotional synchronization was high. Social media feedback emphasized that “matching the AI’s emotional cues made the collaboration smoother and more immersive,” reflecting subjective experience. EEG recordings revealed elevated theta-gamma coupling and beta-band coherence, supporting attention, emotion regulation, and executive control.

These findings suggest that VR and AI platforms can enhance collaborative performance by monitoring emotional transfer dynamics. Neuroadaptive systems could adjust AI emotional feedback and task pacing to optimize engagement, empathy, and adaptive behavior in immersive digital environments.

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