511
Views
23
CrossRef citations to date
0
Altmetric
REGULAR ARTICLES

Perceived realism of dynamic facial expressions of emotion: Optimal durations for the presentation of emotional onsets and offsets

, , &
Pages 1369-1376 | Received 24 Oct 2008, Accepted 15 Oct 2009, Published online: 17 Nov 2010
 

Abstract

The presentation of facial displays of emotions is an important method in emotion-recognition studies in various basic and applied settings. This study intends to make a methodological contribution and investigates the perceived realism of dynamic facial expressions for six emotions (fear, sadness, anger, happiness, disgust, and surprise). We presented dynamic displays of faces evolving from a neutral to an emotional expression (onsets) and faces evolving from an emotional expression to a neutral one (offsets). Participants rated the perceived realism of stimuli of different durations (240–3040 ms) and adjusted the duration of each sequence until they perceived it as maximally realistic. Durations perceived as most realistic are reported for each emotion, providing an important basis for the construction of dynamic facial stimuli for future research.

Acknowledgements

This research was supported in part by grants from the Transregional Collaborative Research Centre SFB/TRR 62 “Companion-Technology for Cognitive Technical Systems” funded by the German Research Foundation (DFG).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 503.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.