most citedDevelopment and Validation of Engagement and Rapport Scales for Evaluating User Experience in Multimodal Dialogue Systems

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.HCShow all

1 paper · 1 filter

cs.HC2026

Memory-Driven Self-Disclosure and Relational Turning Points: A Longitudinal Multimodal Study of Human-AI Interaction

Ryuichi Sumida, Mao Saeki, Masaki Eguchi +4

As conversational AI systems are designed for repeated use, a central question is how a series of interactions becomes a relationship. We present a longitudinal multimodal study of…