8 papers
I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue System
Zi Haur Pang, Yahui Fu, Koji Inoue +1
Emotional validation - explicitly acknowledging that a user's feelings make sense - has proven therapeutic value but has received little computational attention. Emotional validati…
Paralinguistic Emotion-Aware Validation Timing Detection in Japanese Empathetic Spoken Dialogue
Zi Haur Pang, Yahui Fu, Yuan Gao +1
Emotional Validation is a psychotherapy communication technique that involves recognizing, understanding, and explicitly acknowledging another person's feelings and actions, which…
Multilingual and Continuous Backchannel Prediction: A Cross-lingual Study
Koji Inoue, Mikey Elmers, Yahui Fu +5
We present a multilingual, continuous backchannel prediction model for Japanese, English, and Chinese, and use it to investigate cross-linguistic timing behavior. The model is Tran…
Bridging Speech Emotion Recognition and Personality: Dataset and Temporal Interaction Condition Network
Yuan Gao, Hao Shi, Yahui Fu +2
This study investigates the interaction between personality traits and emotion expression, exploring how personality information can improve speech emotion recognition (SER). We co…
Minority-Aware Satisfaction Estimation in Dialogue Systems via Preference-Adaptive Reinforcement Learning
Yahui Fu, Zi Haur Pang, Tatsuya Kawahara
User satisfaction in dialogue systems is inherently subjective. When the same response strategy is applied across users, minority users may assign different satisfaction ratings th…
Prompt-Guided Turn-Taking Prediction
Koji Inoue, Mikey Elmers, Yahui Fu +4
Turn-taking prediction models are essential components in spoken dialogue systems and conversational robots. Recent approaches leverage transformer-based architectures to predict s…