1 citations · 1 across the 2 of their papers we have counts for
2 papers
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…
cs.CL2025★ 1 cited
Development and Validation of Engagement and Rapport Scales for Evaluating User Experience in Multimodal Dialogue Systems
Fuma Kurata, Mao Saeki, Masaki Eguchi +3
This study aimed to develop and validate two scales of engagement and rapport to evaluate the user experience quality with multimodal dialogue systems in the context of foreign lan…