Effects of diagnostic regions on facial emotion recognition: The moving window technique
DOI: 10.3389/fpsyg.2022.966623
archive: archived pipeline: cataloged verified
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Summary
This study investigates whether the active exploration of emotion-specific diagnostic facial regions predicts the efficiency of facial emotion recognition in neurotypical adults. While previous research established that certain facial features (eyes or mouth) are more informative for specific emotions, it remained unclear if preferentially searching these regions accelerates accurate recognition. The authors hypothesized that exploring the diagnostic region for a given emotion would significantly reduce reaction times (RTs) for correct identification. The researchers employed the Moving Window Technique (MWT) with 23 female undergraduate participants. In this task, participants viewed blurred facial images and used a mouse-controlled window to actively explore facial features to identify one of six basic emotions: anger, disgust, fear, happiness, sadness, and surprise. This method allowed for the measurement of overt attention while controlling for extrafoveal visual information. Two key parameters were analyzed: "Spent Time," reflecting the duration and extent of exploration in the eye or mouth regions, and "Last ROI," indicating the final region explored before recognition. Results demonstrated that participants generally spent more time exploring the eye region than the mouth region across all emotions. However, regression analyses revealed that specific exploration patterns predicted faster RTs for accurate recognition. For anger, greater spent time in the eye region predicted faster recognition. For disgust, happiness, and sadness, the mouth region being the last ROI explored predicted faster RTs. For fear and surprise, both eye region spent time and mouth region last ROI significantly predicted faster recognition. These findings support the hypothesis that active exploration of diagnostic regions enhances the efficiency of emotion recognition, distinct from passive viewing methods used in prior studies. The significance of this work lies in providing the first evidence that active exploration of emotion-specific diagnostic regions predicts the speed of accurate emotion recognition in neurotypical adults. By clarifying the relationship between search strategies and recognition efficiency, these findings offer a basis for evaluating and training emotion recognition skills. This is particularly relevant for populations with social communication deficits, such as children with autism spectrum disorder, who may benefit from targeted interventions focusing on efficient visual search patterns for emotional cues.
Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | OpenAlex-citations | — | — | 1 | 2026-06-17 |
| archive | success | unpaywall | — | — | 2 | 2026-06-25 |
| extract | success | cached | — | — | 2 | 2026-06-25 |
| clean | success | clean | — | — | 1 | 2026-06-18 |
| chunk | success | chunk | — | — | 1 | 2026-06-18 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-18 |
| promote | success | — | — | — | 1 | 2026-06-17 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-25 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-18 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-25; verification: verified.
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