%0 Journal Article %A Boer, Minke J. de %A Başkent, Deniz %A Cornelissen, Frans W. %D 2020 %T Eyes on Emotion: Dynamic Gaze Allocation During Emotion Perception from Speech-like Stimuli %U https://brill.figshare.com/articles/journal_contribution/Eyes_on_Emotion_Dynamic_Gaze_Allocation_During_Emotion_Perception_from_Speech-like_Stimuli/12416441 %R 10.6084/m9.figshare.12416441.v1 %2 https://brill.figshare.com/ndownloader/files/22879847 %K emotion perception %K perceptual strategies %K audiovisual integration %K gaze allocation %K dynamic %K eye movements %K Sensory Processes, Perception and Performance %X

The majority of emotional expressions used in daily communication are multimodal and dynamic in nature. Consequently, one would expect that human observers utilize specific perceptual strategies to process emotions and to handle the multimodal and dynamic nature of emotions. However, our present knowledge on these strategies is scarce, primarily because most studies on emotion perception have not fully covered this variation, and instead used static and/or unimodal stimuli with few emotion categories. To resolve this knowledge gap, the present study examined how dynamic emotional auditory and visual information is integrated into a unified percept. Since there is a broad spectrum of possible forms of integration, both eye movements and accuracy of emotion identification were evaluated while observers performed an emotion identification task in one of three conditions: audio-only, visual-only video, or audiovisual video. In terms of adaptations of perceptual strategies, eye movement results showed a shift in fixations toward the eyes and away from the nose and mouth when audio is added. Notably, in terms of task performance, audio-only performance was mostly significantly worse than video-only and audiovisual performances, but performance in the latter two conditions was often not different. These results suggest that individuals flexibly and momentarily adapt their perceptual strategies to changes in the available information for emotion recognition, and these changes can be comprehensively quantified with eye tracking.

%I Brill Online