Emotion‐Guided Attention Impacts Deliberate Multi‐Evidence Emotion‐Related Perceptual Decision‐Making
Emotion-guided endogenous attention (e.g., attending to fear) may play a crucial role in determining how humans integrate emotional evidence from various sources when assessing the general emotional tenor of the environment. For instance, what emotion a presenter focuses on can shape their perception of the overall emotion of the room. While there is an increasing interest in understanding how endogenous attention affects emotion perception, existing studies have largely focused on single-stimulus perception. There is limited understanding of how endogenous attention influences emotion evidence integration across multiple sources. To investigate this question, human participants (N = 40) were invited to judge the average emotion across an array of faces ranging from fearful to happy. Endogenous attention was manipulated by instructing participants to decide whether the face array was "fearful or not" (fear attention), "happy or not" (happy attention). Eye movement results revealed an endogenous attention-induced sampling bias such that participants paid more attention to extreme emotional evidence congruent with the target emotion. Computational modeling revealed that endogenous attention shifted the decision criterion to be more conservative, leading to reduced target-category decisions. These findings unraveled the cognitive and computational mechanisms of how endogenous attention impacts the way we gather emotional evidence and make integrative decisions, shedding light on emotion-related decision-making.
Authors
- Jingwen Jin (ORCID: https://orcid.org/0000-0001-9227-6837)
- Hilary Hei Ting Ngai (ORCID: https://orcid.org/0009-0001-4041-2208)
Institutions
- Chinese University of Hong Kong (HK)
- University of Hong Kong (HK)
Publication Details
- Journal
- Psychophysiology
- Published
- 2025-04-27
- DOI
- https://doi.org/10.1111/psyp.70059
- Citations
- 1
- Primary Topic
- Neural and Behavioral Psychology Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.43
Funders
- University of Hong Kong