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Predictive Modeling of Long-Term User Engagement From Affective Signals

Affective Science

Affective Computing & Human-AI Interaction

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Affective Science › Affective Computing & Human-AI Interaction

Predictive Modeling of Long-Term User Engagement From Affective Signals

This research develops machine learning models that predict sustained human engagement, satisfaction, and relationship quality with AI systems based on early affective interaction patterns. The scientific insight reveals which emotional dynamics during initial human-AI encounters serve as robust predictors of long-term interaction quality and user retention.

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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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