NDLI: A first evaluation study of a database of kinetic facial expressions (DaFEx)

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A first evaluation study of a database of kinetic facial expressions (DaFEx)

Content Provider	ACM Digital Library
Author	Battocchi, Alberto Pianesi, Fabio Goren-Bar, Dina
Abstract	In this paper we present DaFEx (Database of Facial Expressions), a database created with the purpose of providing a benchmark for the evaluation of the facial expressivity of Embodied Conversational Agents (ECAs). DaFEx consists of 1008 short videos containing emotional facial expressions of the 6 Ekman's emotions plus the neutral expression. The facial expressions were recorded by 8 professional actors (male and female) in two acting conditions ("utterance" and "no- utterance") and at 3 intensity levels (high, medium, low). The properties of DaFEx were studied by having 80 subjects classify the emotion expressed in the videos. High rates of accuracy were obtained for most of the emotions displayed. We also tested the effect of the intensity level, of the articulatory movements due to speech, and of the actors' and subjects' gender, on classification accuracy. The results showed that decoding accuracy decreases with the intensity of emotions; that the presence of articulatory movements negatively affects the recognition of fear, surprise and of the neutral expression, while it improves the recognition of anger; and that facial expressions seem to be recognized (slightly) better when acted by actresses than by actors.
Starting Page	214
Ending Page	221
Page Count	8
File Format	PDF
ISBN	1595930280
DOI	10.1145/1088463.1088501
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2005-10-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Emotion recognition Expressiveness Databases User study Quality of facial displays
Content Type	Text
Resource Type	Article

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