David Lamas
Papers
5
Total Citations
149
H-Index
5
About
David Lamas is a leading figure in Human-Computer Interaction (HCI), with a research focus that bridges accessibility, user modeling, and the emerging frontier of affective computing. His most influential work includes chairing the prestigious INTERACT 2019 conference, whose proceedings (garnering over 130 citations collectively) set the agenda for global HCI discourse, covering topics from 3D interaction to gamification and public-space interfaces. Lamas has made significant contributions to emotion-aware systems, notably developing a context-aware facial emotion reaction database for dyadic interactions—a critical resource for improving the emotional credibility of social robots and artificial agents. His deep learning models for automatic reaction emotion estimation in human-human settings push the boundaries of realistic affective behavior in technology, with applications spanning marketing, human-robot interaction, and assistive devices. By tackling the persistent challenge of authentic emotional expression in machines, Lamas’s work not only advances HCI theory but also lays practical groundwork for more empathetic, responsive digital environments.
Research Focus
Key Achievements
Top Papers
- 1Human-Computer Interaction – INTERACT 2019119 citations · 2019
- 2Human-Computer Interaction – INTERACT 201913 citations · 2019
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- 4Human-Computer Interaction – INTERACT 20196 citations · 2019
- 5