Beyond static representations: Development of a multi-channel, dynamic assessment of emotion perception
Year: 2010
Type: article
Abstract: Research on the perception of emotion in humans has a long and rich literature base. Ekman’s (Ekman, 1972; Ekman & Friesen, 1971) research on the universal recognition of emotions represents some of the earliest work in the area of emotion recognition. However, with the exception of recent work on synthesized faces to examine facial features related to emotion recognition in humans (Spencer-Smith et al., 2001), the field has not progressed very far beyond Ekman’s original stimuli of emotion expressions in terms of developing standardized assessments of emotion perception skills. Recently, several researchers have called for the field to move beyond the emotion stimuli based on posed expressions of high signal clarity (Elfenbein & Ambady, 2002; Ambadar, Schooler, & Cohn, 2005). This research seeks to expand the field of emotion perception by developing a performance-based measure of emotion perception that capitalizes on new technologies incorporating full multimedia stimuli.
Author: Scott E. Bedwell
Language: English
Topic: Emotion and Mood Recognition
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2215087901