Affective Forecasting is an psychology task that involves predicting an individual's future emotional responses, often hampered by reliance on external factors leading to inaccuracies, and typically remains at a qualitative analysis stage. To address these challenges, we narrows the scope of Affective Forecasting by introducing the concept of Human-interaction-based Emotion Forecasting (EF). This task is set within the context of a two-party interaction, positing that an individual's emotions are significantly influenced by their interaction partner's emotional expressions and informational cues. This dynamic provides a structured perspective for exploring the patterns of emotional change, thereby enhancing the feasibility of emotion forecasting.
@article{arxiv.2407.16406,
title = {Hi-EF: Benchmarking Emotion Forecasting in Human-interaction},
author = {Haoran Wang and Xinji Mai and Zeng Tao and Junxiong Lin and Xuan Tong and Ivy Pan and Shaoqi Yan and Yan Wang and Shuyong Gao},
journal= {arXiv preprint arXiv:2407.16406},
year = {2025}
}