EmoLab at JBNU · 전북대학교 정서연구실
Understanding affective representations in minds, brains, and machines.
We study how affective experience is structured across people, sensory modalities, biological systems, and artificial intelligence, and develop multivariate methods to make those structures visible.
What we study
Research themes
Our work is organized around durable scientific questions in affective science.
01
Affective Representation
How emotions and affective experiences are organized across sensory modalities, individuals, tasks, and stimulus domains.
02
Multivariate Methods
Developing and applying methods that treat psychological patterns, geometry, and relational structure as primary scientific objects.
03
Brain & Physiology
Studying affect with neuroimaging and psychophysiological measures, with emphasis on multivariate structure and generalization.
04
Humans & Artificial Intelligence (AI)
Comparing human and artificial representational systems and using modern AI systems in psychological research.
Selected work
Featured publications
Consistent neural representation of valence in encoding and recall
DOIExploring Affective Representations in Emotional Narratives: An Exploratory Study Comparing ChatGPT and Human Responses
DOITaste the music: Modality-general representation of affective states derived from auditory and gustatory stimuli
DOIPeople
A small lab built around hands-on research.
EmoLab brings together students interested in affective science, cognitive neuroscience, quantitative methods, and psychological experimentation.