Wang Shan, Eccleston Christopher, Keogh Edmund
Department of Psychology, University of Bath, Bath, United Kingdom Centre for Pain Research, University of Bath, Bath, United Kingdom.
Pain. 2015 Sep;156(9):1670-1682. doi: 10.1097/j.pain.0000000000000226.
Being able to detect pain from facial expressions is critical for pain communication. Alongside identifying the specific facial codes used in pain recognition, there are other types of more basic perceptual features, such as spatial frequency (SF), which refers to the amount of detail in a visual display. Low SF carries coarse information, which can be seen from a distance, and high SF carries fine-detailed information that can only be perceived when viewed close up. As this type of basic information has not been considered in the recognition of pain, we therefore investigated the role of low-SF and high-SF information in the decoding of facial expressions of pain. Sixty-four pain-free adults completed 2 independent tasks: a multiple expression identification task of pain and core emotional expressions and a dual expression "either-or" task (pain vs fear, pain vs happiness). Although both low-SF and high-SF information make the recognition of pain expressions possible, low-SF information seemed to play a more prominent role. This general low-SF bias would seem an advantageous way of potential threat detection, as facial displays will be degraded if viewed from a distance or in peripheral vision. One exception was found, however, in the "pain-fear" task, where responses were not affected by SF type. Together, this not only indicates a flexible role for SF information that depends on task parameters (goal context) but also suggests that in challenging visual conditions, we perceive an overall affective quality of pain expressions rather than detailed facial features.
能够从面部表情中检测疼痛对于疼痛交流至关重要。除了识别疼痛识别中使用的特定面部编码外,还有其他类型的更基本的感知特征,如空间频率(SF),它指的是视觉显示中的细节量。低空间频率携带粗略信息,从远处就能看到,而高空间频率携带精细详细的信息,只有近距离观看时才能感知到。由于在疼痛识别中尚未考虑这类基本信息,因此我们研究了低空间频率和高空间频率信息在疼痛面部表情解码中的作用。64名无疼痛的成年人完成了2项独立任务:一项疼痛和核心情绪表情的多重表情识别任务,以及一项二元表情“二选一”任务(疼痛与恐惧、疼痛与快乐)。虽然低空间频率和高空间频率信息都使疼痛表情的识别成为可能,但低空间频率信息似乎发挥了更突出的作用。这种普遍的低空间频率偏向似乎是潜在威胁检测的一种有利方式,因为如果从远处或周边视觉观看,面部显示会退化。然而,在“疼痛-恐惧”任务中发现了一个例外,在该任务中,反应不受空间频率类型的影响。总之,这不仅表明空间频率信息的作用具有灵活性,取决于任务参数(目标情境),还表明在具有挑战性的视觉条件下,我们感知的是疼痛表情的整体情感质量,而不是详细的面部特征。