Laura B. Hensel
Papers
2
Total Citations
42
H-Index
2
About
Laura B. Hensel is a leading researcher in computational social perception and human-robot interaction, with a focus on how facial features shape social judgments and culturally adaptive technology. Her most influential work, "Equipping social robots with culturally-sensitive facial expressions of emotion using data-driven methods" (38 citations), pioneers the use of machine learning to generate facial expressions that are recognizable across cultures, challenging the assumption of universal emotion displays and advancing more inclusive human-robot communication. In her 2020 study "Social trait perception is structured by a latent composition of 3D face features" (4 citations), Hensel employs advanced 3D modeling to reveal how subtle variations in facial geometry drive rapid first impressions of trustworthiness and competence—insights with profound implications for AI, psychology, and social bias mitigation. By bridging data-driven methods with social cognition, Hensel’s work not only enhances the realism and cultural sensitivity of social robots but also deepens our understanding of the visual cues underlying human social perception. Her research is foundational for designing equitable, perceptive AI systems that interact naturally across diverse human contexts.
Research Focus
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Top Papers
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