Literature DB >> 20515001

Effects of dynamic information in recognising facial expressions on dimensional and categorical judgments.

Tomomi Fujimura1, Naoto Suzuki.   

Abstract

We investigated the effects of dynamic information on decoding facial expressions. A dynamic face entailed a change from a neutral to a full-blown expression, whereas a static face included only the full-blown expression. Sixty-eight participants were divided into two groups, the dynamic condition and the static condition. The facial stimuli expressed eight kinds of emotions (excited, happy, calm, sleepy, sad, angry, fearful, and surprised) according to a dimensional perspective. Participants evaluated each facial stimulus using two methods, the Affect Grid (Russell et al, 1989 Personality and Social Psychology 29 497-510) and the forced-choice task, allowing for dimensional and categorical judgment interpretations. For activation ratings in dimensional judgments, the results indicated that dynamic calm faces, low-activation expressions were rated as less activated than static faces. For categorical judgments, dynamic excited, happy, and fearful faces, which are high- and middle-activation expressions, had higher ratings than did those under the static condition. These results suggest that the beneficial effect of dynamic information depends on the emotional properties of facial expressions.

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Year:  2010        PMID: 20515001     DOI: 10.1068/p6257

Source DB:  PubMed          Journal:  Perception        ISSN: 0301-0066            Impact factor:   1.490


  6 in total

1.  Cues of fatigue: effects of sleep deprivation on facial appearance.

Authors:  Tina Sundelin; Mats Lekander; Göran Kecklund; Eus J W Van Someren; Andreas Olsson; John Axelsson
Journal:  Sleep       Date:  2013-09-01       Impact factor: 5.849

2.  The efficiency of dynamic and static facial expression recognition.

Authors:  Jason M Gold; Jarrett D Barker; Shawn Barr; Jennifer L Bittner; W Drew Bromfield; Nicole Chu; Roy A Goode; Doori Lee; Michael Simmons; Aparna Srinath
Journal:  J Vis       Date:  2013-04-25       Impact factor: 2.240

3.  The MPI facial expression database--a validated database of emotional and conversational facial expressions.

Authors:  Kathrin Kaulard; Douglas W Cunningham; Heinrich H Bülthoff; Christian Wallraven
Journal:  PLoS One       Date:  2012-03-15       Impact factor: 3.240

4.  The Nonverbal Communication of Positive Emotions: An Emotion Family Approach.

Authors:  Disa A Sauter
Journal:  Emot Rev       Date:  2017-06-15

5.  Modulation of Emotional Category Induced by Temporal Factors in Emotion Recognition.

Authors:  Hiroaki Maeshima; Yuichi Yamashita; Tomomi Fujimura; Masato Okada; Kazuo Okanoya
Journal:  PLoS One       Date:  2015-07-31       Impact factor: 3.240

6.  Jumping for Joy: The Importance of the Body and of Dynamics in the Expression and Recognition of Positive Emotions.

Authors:  Marcello Mortillaro; Daniel Dukes
Journal:  Front Psychol       Date:  2018-05-15
  6 in total

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