Zhong Lan, Wang Yamin, Kan Hong, Ding Jinhong
Beijing Key Laboratory of Learning and Cognition, College of Psychology, Capital Normal University, Beijing, China.
Front Psychol. 2020 Apr 9;11:479. doi: 10.3389/fpsyg.2020.00479. eCollection 2020.
Mood-congruent effects have been demonstrated many times, but few studies have managed to replicate the effect with natural moods. Additionally, the ecological validity of mood induction and real-time observation deficiency remain unresolved. Using a newly developed, virtual-reality-based eye-tracking technique, the present study conducted real-time observations of mood effects on emotional face recognition with simulated "real-life" pleasant and grisly scenes. In experiment 1, participants performed an emotional face recognition task in both positive and negative virtual reality scenes. The recognition tests and gaze tracking results failed to support mood-congruent effects but did show a mood effect independent of a strong emotional face effect. In experiment 2, participants performed a neutral face recognition task in pleasant and grisly scenes that were matched for arousal levels, and the mood effect disappeared. The results also revealed a robust negativity bias in emotional face recognition, which was found to accompany a mood repair effect.
心境一致性效应已被多次证明,但很少有研究能够在自然情绪状态下复制这一效应。此外,情绪诱导的生态效度和实时观察的不足仍未得到解决。本研究采用一种新开发的基于虚拟现实的眼动追踪技术,通过模拟“现实生活”中的愉悦和恐怖场景,对情绪对情感面孔识别的影响进行实时观察。在实验1中,参与者在积极和消极的虚拟现实场景中执行情感面孔识别任务。识别测试和注视追踪结果未能支持心境一致性效应,但确实显示出一种独立于强烈情感面孔效应的情绪效应。在实验2中,参与者在唤醒水平匹配的愉悦和恐怖场景中执行中性面孔识别任务,情绪效应消失。研究结果还揭示了情感面孔识别中存在强烈的负性偏向,且发现其伴随着情绪修复效应。