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<strong>Multimodal Affective Computing (HCI)</strong><br>
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Human communication is more than just words; it’s tone, pause, and context. We are researching <strong>Context-Aware Emotion Recognition</strong>. Instead of basic "happy/sad" classification, we try to model complex internal states like cognitive load or stress by fusing audio and text data. We are particularly interested in how these models generalize across different cultures and languages.
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<strong>Human-AI Interaction with Mental Health, Human Cultures and Biases</strong><br>
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Our lab has been working on understanding humans, particularly in the area of biases, culture, cognition, emotion, behavior. Through that understanding, we are interested in how to design AI systems that are more intuitive and user-friendly and can effectively collaborate with humans for stronger outcomes. Example applications that we have been working for a long tiem include mental health related applications and tutoring related applications.
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