Research
Projects
What Do We Look At When We Decide Someone’s Ethnicity?
How do Korean observers use internal (eyes, nose) versus external (hair, face outline) facial cues when categorizing Korean, Japanese, and Chinese faces?
Humans versus machines: Distinguishing Korean, Chinese, and Japanese faces via internal and external features
A follow-up study comparing human categorization patterns with deep learning models, asking where humans and machines converge—and where their error profiles diverge.
Attractive Strangers Look Korean: How Social Traits Bias Ethnicity Perception
Examines how rapid social trait impressions such as attractiveness and trustworthiness bias fine-grained ethnicity categorization, including asymmetric in-group effects.
Reading Emotions When Faces Are Partly Hidden
Investigates how gaze direction and face masks shape emotion recognition and visual attention to diagnostic facial regions.
Why Some Robots Feel Uncanny: Audio-Visual Cues in Human–Robot Interaction
Explores how naturality in audio–visual signals influences human–robot interaction and the perception of the uncanny valley.