A-Situ: a computational framework for affective labeling from psychological behaviors in real-life situations.

ABSTRACT: This paper presents a computational framework for providing affective labels to real-life situations, called A-Situ. We first define an affective situation, as a specific arrangement of affective entities relevant to emotion elicitation in a situation. Then, the affective situation is represented as a set of labels in the valence-arousal emotion space. Based on psychological behaviors in response to a situation, the proposed framework quantifies the expected emotion evoked by the interaction with a stimulus event. The accumulated result in a spatiotemporal situation is represented as a polynomial curve called the affective curve, which bridges the semantic gap between cognitive and affective perception in real-world situations. We show the efficacy of the curve for reliable emotion labelin

SUBMITTER: Kim BH 

PROVIDER: S-EPMC7522975 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature