2 citations · 2 across the 10 of their papers we have counts for
11 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…
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…
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…
Does the Appearance of Autonomous Conversational Robots Affect User Spoken Behaviors in Real-World Conference Interactions?
Zi Haur Pang, Yahui Fu, Divesh Lala +3
We investigate the impact of robot appearance on users' spoken behavior during real-world interactions by comparing a human-like android, ERICA, with a less anthropomorphic humanoi…
Human-Like Embodied AI Interviewer: Employing Android ERICA in Real International Conference
Zi Haur Pang, Yahui Fu, Divesh Lala +3
This paper introduces the human-like embodied AI interviewer which integrates android robots equipped with advanced conversational capabilities, including attentive listening, conv…
StyEmp: Stylizing Empathetic Response Generation via Multi-Grained Prefix Encoder and Personality Reinforcement
Yahui Fu, Chenhui Chu, Tatsuya Kawahara
Recent approaches for empathetic response generation mainly focus on emotional resonance and user understanding, without considering the system's personality. Consistent personalit…
Acknowledgment of Emotional States: Generating Validating Responses for Empathetic Dialogue
Zi Haur Pang, Yahui Fu, Divesh Lala +3
In the realm of human-AI dialogue, the facilitation of empathetic responses is important. Validation is one of the key communication techniques in psychology, which entails recogni…
Enhancing Personality Recognition in Dialogue by Data Augmentation and Heterogeneous Conversational Graph Networks
Yahui Fu, Haiyue Song, Tianyu Zhao +1
Personality recognition is useful for enhancing robots' ability to tailor user-adaptive responses, thus fostering rich human-robot interactions. One of the challenges in this task…