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Hi-EF: Benchmarking Emotion Forecasting in Human-interaction

Year: 2024

Type: preprint

Abstract: 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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2407.16406

Authors: Wang, Haoran, Mai, Xinji, Tao, Zeng, Lin, Junxiong, Tong, Xuan, Pan, Ivy, Yan, Shaoqi, Wang, Yan, Gao, Shuyong

Institutions: Fudan University, University of Hong Kong, East China Normal University, Carnegie Mellon University

Language: English

Topic: Emotion and Mood Recognition

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6928986133

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