El Haj Mohamad, Antoine Pascal, Nandrino Jean Louis
Univ. Lille, CNRS, CHU Lille, UMR 9193 - SCALab - Sciences Cognitives et Sciences Affectives, F-59000, Lille, France.
Laboratoire SCALab UMR CNRS 9193- University of Lille, Domaine du Pont de Bois, 59653, Villeneuve d'Ascq, France.
Cogn Affect Behav Neurosci. 2016 Apr;16(2):374-81. doi: 10.3758/s13415-015-0397-9.
There is a substantial body of research on the relationship between emotion and autobiographical memory. Using facial analysis software, our study addressed this relationship by investigating basic emotional facial expressions that may be detected during autobiographical recall. Participants were asked to retrieve 3 autobiographical memories, each of which was triggered by one of the following cue words: happy, sad, and city. The autobiographical recall was analyzed by a software for facial analysis that detects and classifies basic emotional expressions. Analyses showed that emotional cues triggered the corresponding basic facial expressions (i.e., happy facial expression for memories cued by happy). Furthermore, we dissociated episodic and semantic retrieval, observing more emotional facial expressions during episodic than during semantic retrieval, regardless of the emotional valence of cues. Our study provides insight into facial expressions that are associated with emotional autobiographical memory. It also highlights an ecological tool to reveal physiological changes that are associated with emotion and memory.
关于情感与自传体记忆之间的关系,有大量的研究。本研究使用面部分析软件,通过调查在自传体回忆过程中可能检测到的基本情感面部表情来探讨这种关系。参与者被要求回忆3段自传体记忆,每段记忆由以下提示词之一触发:快乐、悲伤和城市。通过一款用于面部分析的软件对自传体回忆进行分析,该软件可检测和分类基本情感表情。分析表明,情感线索会触发相应的基本面部表情(即由快乐提示的记忆会出现快乐的面部表情)。此外,我们区分了情景记忆和语义记忆的检索,观察到在情景检索过程中比在语义检索过程中出现更多的情感面部表情,无论线索的情感效价如何。我们的研究为与情感自传体记忆相关的面部表情提供了见解。它还突出了一种揭示与情感和记忆相关的生理变化的生态学工具。