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

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 articul...

• Type: Conference
• Year: 2005
• Where: ICMI
• Authors: Alberto Battocchi, Fabio Pianesi, Dina Goren-Bar
• Keywords: Emotional Facial Expressions, Facial Expressions, ICMI 2005, Intensity Level