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Selective eye fixations on diagnostic face regions of dynamic emotional expressions: KDEF-dyn database

机译:动态情感表达的诊断面部区域的选择性眼部注视:KDEF-dyn数据库

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摘要

Prior research using static facial stimuli (photographs) has identified diagnostic face regions (i.e., functional for recognition) of emotional expressions. In the current study, we aimed to determine attentional orienting, engagement, and time course of fixation on diagnostic regions. To this end, we assessed the eye movements of observers inspecting dynamic expressions that changed from a neutral to an emotional face. A new stimulus set (KDEF-dyn) was developed, which comprises 240 video-clips of 40 human models portraying six basic emotions (happy, sad, angry, fearful, disgusted, and surprised). For validation purposes, 72 observers categorized the expressions while gaze behavior was measured (probability of first fixation, entry time, gaze duration, and number of fixations). Specific visual scanpath profiles characterized each emotional expression: The eye region was looked at earlier and longer for angry and sad faces; the mouth region, for happy faces; and the nose/cheek region, for disgusted faces; the eye and the mouth regions attracted attention in a more balanced manner for surprise and fear. These profiles reflected enhanced selective attention to expression-specific diagnostic face regions. The KDEF-dyn stimuli and the validation data will be available to the scientific community as a useful tool for research on emotional facial expression processing.
机译:使用静态面部刺激(照片)的先前研究已经确定了情绪表达的诊断面部区域(即,用于识别的功能)。在当前的研究中,我们旨在确定在诊断区域上的注意力定向,参与度和固定时间。为此,我们评估了观察者的眼动情况,观察了从中性到情感表情的动态表情。开发了一种新的刺激集(KDEF-dyn),其中包括40个人体模型的240个视频片段,描绘了六种基本情感(快乐,悲伤,愤怒,恐惧,恶心和惊讶)。为了验证目的,在测量注视行为时(初次注视的概率,进入时间,注视持续时间和注视次数),有72位观察者对这些表情进行了分类。具体的视觉扫描路径特征描述了每种情感表达:更早或更长时间地注视着眼睛区域,以发现愤怒和悲伤的面孔;嘴巴区域,用于笑脸;鼻子/脸颊区域,用于恶心的面孔;眼睛和嘴巴区域以更加平衡的方式引起了人们的注意,从而带来惊喜和恐惧。这些概况反映出对表达特异性诊断面部区域的选择性注意增强。 KDEF-dyn刺激和验证数据将提供给科学界,作为研究情绪面部表情处理的有用工具。

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