Proceedings of the Annual Meeting of the Cognitive Science Society

Emotion space models are frameworks that represent emotions in a multidimensional space, providing a structured way to understand and analyze the complex landscape of human emotions. However, the dimensional representation of emotions is still debatable. In this work, we are probing the higher dimensional space constituted by emotion labeling done by participants from India on multimedia stimuli.Our approach formalizes the study of emotion in the investigation of representational state spaces capturing semantic variation in emotion-related response.We have created a high-dimensional space of emotional ratings by participants to represent emotional stimuli. Using t-SNE, we have projected the higher dimensional space into two dimensions. We observed that the structure of emotional categories and clusters formed of these emotional categories is similar to Russell's circumplex model. The transition from the blended complex emotional states to the discrete emotional states is projected out from the centre, and discrete emotional states occur in the periphery.