English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Cognitive categories of emotional and conversational facial expressions are influenced by dynamic information

Kaulard, K., Wallraven, C., de la Rosa, S., & Bülthoff, H. (2010). Cognitive categories of emotional and conversational facial expressions are influenced by dynamic information. In 11th Conference of Junior Neuroscientists of Tübingen (NeNa 2010) (pp. 16).

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-BE1A-B Version Permalink: http://hdl.handle.net/21.11116/0000-0003-1D0A-3
Genre: Meeting Abstract

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Kaulard, K1, 2, Author              
Wallraven, C1, 2, Author              
de la Rosa, S1, 2, 3, Author              
Bülthoff, HH1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Project group: Cognitive Engineering, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_2528702              

Content

show
hide
Free keywords: -
 Abstract: Most research on facial expressions focuses on static, ’emotional’ expressions. Facial expressions, however, are also important in interpersonal communication (’conversational’ expressions). In addition, communication is a highly dynamic phenomenon and previous evidence suggests that dynamic presentation of stimuli facilitates recognition. Hence, we examined the categorization of emotional and conversational expressions using both static and dynamic stimuli. In a between-subject design, 40 participants were asked to group 55 different facial expressions (either static or dynamic) of ten actors in a free categorization task. Expressions were to be grouped according to their overall similarity. The resulting confusion matrix was used to determine the consistency with which facial expressions were categorized. In the static condition, emotional expressions were grouped as separate categories while participants confused conversational expressions. In the dynamic condition, participants uniquely categorized basic and sub-ordinate emotional, as well as several conversational facial expressions. Furthermore, a multidimensional scaling analysis suggests that the same potency and valence dimensions underlie the categorization of both static and dynamic expressions. Basic emotional expressions represent the most effective categories when only static information is available. Importantly, however, our results show that dynamic information allows for a much more fine-grained categorization and is essential in disentangling conversational expressions.

Details

show
hide
Language(s):
 Dates: 2010-10
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: BibTex Citekey: KaulardWdB2010
 Degree: -

Event

show
hide
Title: 11th Conference of Junior Neuroscientists of Tübingen (NeNa 2010)
Place of Event: Heiligkreuztal, Germany
Start-/End Date: 2010-10-04 - 2010-10-06

Legal Case

show

Project information

show

Source 1

show
hide
Title: 11th Conference of Junior Neuroscientists of Tübingen (NeNa 2010)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 16 Identifier: -