CogIntAc: Modeling the Relationships between Intention, Emotion and Action in Interactive Process from Cognitive Perspective

TL;DR

This paper introduces a cognitive framework modeling how individuals interact through intentions, emotions, and actions, aiming to better understand and predict human interaction processes from a cognitive science perspective.

Contribution

It proposes a novel cognitive framework linking intention, emotion, and action to model human interactions and provides a dataset and baseline models for validation.

Findings

Framework effectively predicts actions and emotions in interactions.

Reconstructed dataset supports evaluation of cognitive interaction models.

Baseline models demonstrate the framework's potential in mimicking human mental states.

Abstract

Intention, emotion and action are important psychological factors in human activities, which play an important role in the interaction between individuals. How to model the interaction process between individuals by analyzing the relationship of their intentions, emotions, and actions at the cognitive level is challenging. In this paper, we propose a novel cognitive framework of individual interaction. The core of the framework is that individuals achieve interaction through external action driven by their inner intention. Based on this idea, the interactions between individuals can be constructed by establishing relationships between the intention, emotion and action. Furthermore, we conduct analysis on the interaction between individuals and give a reasonable explanation for the predicting results. To verify the effectiveness of the framework, we reconstruct a dataset and propose three tasks as well as the corresponding baseline models, including action abduction, emotion prediction and action generation. The novel framework shows an interesting perspective on mimicking the mental state of human beings in cognitive science.