面孔—人格知觉的影响因素

人们会迅速地对目标人物的面孔线索进行人格特质分析,进而形成对目标的人格第一印象。在这个面孔—人格知觉的过程中,知觉结果会受到知觉对象、知觉者以及两者交互作用的影响。本文基于这三个方面对影响面孔—人格知觉的因素进行了综述和展望,以期更系统、科学地研究与看待面孔—人格知觉,并为人际印象设计与管理等提供理论参考。     

The influence of indirect and direct emotional processing on memory for facial expressions

We used the Remember–Know procedure (Tulving, 1985 Tulving, E. 1985. Memory and consciousness. Canadian Psychology, 26: 1–12. [Crossref], [Web of Science ®] , [Google Scholar]) to test the behavioural expression of memory following indirect and direct forms of emotional processing at encoding. Participants (N=32) viewed a series of facial expressions (happy, fearful, angry, and neutral) while performing tasks involving either indirect (gender discrimination) or direct (emotion discrimination) emotion processing. After a delay, participants completed a surprise recognition memory test. Our results revealed that indirect encoding of emotion produced enhanced memory for fearful faces whereas direct encoding of emotion produced enhanced memory for angry faces. In contrast, happy faces were better remembered than neutral faces after both indirect and direct encoding tasks. These findings suggest that fearful and angry faces benefit from a recollective advantage when they are encoded in a way that is consistent with the predictive nature of their threat. We propose that the broad memory advantage for happy faces may reflect a form of cognitive flexibility that is specific to positive emotions.     

抑郁情绪大学生反应抑制的眼动特点

本研究采用反眼动实验范式,通过BDI和 SDS量表筛选11名抑郁情绪组和12名正常对照组被试,以高兴、中性和悲伤面孔图片作为实验材料,旨在探讨抑郁情绪大学生对情绪刺激的眼动抑制能力。结果发现：抑郁情绪组的正确眼跳反应时慢于正常组;反朝向眼跳任务中,抑郁情绪组在情绪面孔图片,尤其是悲伤面孔图片上的错误率比正常组高。研究表明,抑郁情绪个体的认知加工速度慢于正常个体,且对情绪面孔,尤其对悲伤面孔存在抑制缺陷。     

Emotion identification across adulthood using the Dynamic FACES database of emotional expressions in younger,middle aged,and older adults

Facial stimuli are widely used in behavioural and brain science research to investigate emotional facial processing. However, some studies have demonstrated that dynamic expressions elicit stronger emotional responses compared to static images. To address the need for more ecologically valid and powerful facial emotional stimuli, we created Dynamic FACES, a database of morphed videos (n?=?1026) from younger, middle-aged, and older adults displaying naturalistic emotional facial expressions (neutrality, sadness, disgust, fear, anger, happiness). To assess adult age differences in emotion identification of dynamic stimuli and to provide normative ratings for this modified set of stimuli, healthy adults (n?=?1822, age range 18–86 years) categorised for each video the emotional expression displayed, rated the expression distinctiveness, estimated the age of the face model, and rated the naturalness of the expression. We found few age differences in emotion identification when using dynamic stimuli. Only for angry faces did older adults show lower levels of identification accuracy than younger adults. Further, older adults outperformed middle-aged adults’ in identification of sadness. The use of dynamic facial emotional stimuli has previously been limited, but Dynamic FACES provides a large database of high-resolution naturalistic, dynamic expressions across adulthood. Information on using Dynamic FACES for research purposes can be found at http://faces.mpib-berlin.mpg.de.     

Age-related changes in amplitude,latency and specialization of ERP responses to faces and watches

ABSTRACT

Healthy aging is associated with impairments in face recognition. While earlier research suggests that these impairments arise during memory retrieval, more recent findings suggest that earlier mechanisms, at the perceptual stage, may also be at play. However, results are often inconsistent and very few studies have included a non-face control stimulus to facilitate interpretation of results with respect to the implication of specialized face mechanisms vs. general cognitive factors. To address these issues, P100, N170 and P200 event-related potentials (ERPs) were measured during processing of faces and watches. For faces, age-related differences were found for P100, N170 and P200 ERPs. For watches, age-related differences were found for N170 and P200 ERPs. Older adults showed less selective and less lateralized N170 responses to faces, suggesting that ERPs can detect age-related de-differentiation of specialized face networks. We conclude that age-related impairments in face recognition arise in part from difficulties in the earliest perceptual stages of visual information processing. A working model is presented based on coarse-to-fine analysis of visually similar exemplars.