Semantic Space Theory: A Computational Approach to Emotion
Within affective science, the central line of inquiry, animated by basic emotion theory and constructivist accounts, has been the search for one-to-one mappings between six emotions and their subjective experiences, prototypical expressions, and underlying brain states. We offer an alternative perspective: semantic space theory. This computational approach uses wide-ranging naturalistic stimuli and open-ended statistical techniques to capture systematic variation in emotion-related behaviors. Upwards of 25 distinct varieties of emotional experience have distinct profiles of associated antecedents and expressions.

Amir is a Pakistani-Canadian neuroengineer in Toronto, developing brain-computer interfaces to enhance learning. As a volunteer author, he shares insights on how technology can amplify cognitive abilities, drawing from his diverse South Asian-Canadian perspective.