Jeffrey M. Girard
Papers
2
Total Citations
40
H-Index
2
About
Dr. Jeffrey M. Girard is a leading researcher in affective computing and human-computer interaction, with a primary focus on multimodal emotion recognition and nonverbal behavior synthesis. His work bridges the gap between human communication dynamics and intelligent agent design. Dr. Girard’s major contributions include the creation of the **ElderReact** dataset (2019, 37 citations), a pioneering multimodal resource specifically designed for recognizing emotional responses in aging adults—a critical but often overlooked population in affective computing. This work has significant implications for healthcare technologies and social robotics. More recently, he introduced the **GeSTICS** corpus (2024), a multimodal dataset for studying gesture synthesis in two-party interactions with contextualized speech, advancing the generation of natural co-speech gestures and facial expressions in human-agent interactions. His research uniquely integrates verbal, nonverbal, and contextual cues to improve the realism and effectiveness of embodied conversational agents. Dr. Girard’s contributions are foundational for developing socially intelligent systems that can understand and respond to human emotion across diverse age groups and interaction contexts, making him a key figure in the future of empathetic technology.
Research Focus
Key Achievements
Top Papers
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