Ho Yin Chan

Papers

Total Citations

H-Index

About

Ho Yin Chan is a pioneering researcher in affective computing and human–machine interaction, best known for developing empathetic systems that bridge emotional intelligence and artificial intelligence. Chan’s most cited work, “Zara The Supergirl: An Empathetic Personality Recognition System” (2016, 34 citations), introduces an interactive platform that integrates sentiment analysis, emotion recognition, and facial and speech processing to engage users in emotionally resonant conversations. This system not only detects a user’s emotional state but also mirrors it, enabling a human-like sharing of feelings within a 5–10 minute dialogue. Chan’s contributions have significantly advanced the design of socially aware agents, demonstrating how machines can recognize and respond to human emotions in real time. By embedding empathy into computational models, Chan has laid groundwork for applications in mental health support, education, and customer service. With a focus on personality recognition and multimodal sensing, Chan continues to influence the development of more intuitive and compassionate AI systems, making technology more accessible and emotionally attuned to human needs.