September 2015
Volume 15, Issue 12
Free
Vision Sciences Society Annual Meeting Abstract  |   September 2015
Learning faces from variability
Author Affiliations
  • Kay Ritchie
    School of Psychology, University of Aberdeen, Aberdeen, Scotland, UK Department of Psychology, University of York, York, UK
  • A. Mike Burton
    School of Psychology, University of Aberdeen, Aberdeen, Scotland, UK Department of Psychology, University of York, York, UK
Journal of Vision September 2015, Vol.15, 1199. doi:10.1167/15.12.1199
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Kay Ritchie, A. Mike Burton; Learning faces from variability. Journal of Vision 2015;15(12):1199. doi: 10.1167/15.12.1199.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

There are large behavioural differences in the perception of familiar and unfamiliar faces. However, little is known about face learning – how faces make the transition from unfamiliar to familiar. Most experimental work on this topic examines the effects of study time, and systematic variation of exposure (changes in pose etc). We have argued that a critical component of face learning is within-person variability – i.e. exposure to the range of naturally-occurring variations which are idiosyncratic for a particular face. Here, we present two experiments which manipulate the degree of variability to which viewers are exposed during face learning. Participants learned name and face associations for twenty unfamiliar identities presented with high and low within-person variability. Stimuli were ambient images, showing faces ‘in the wild’. We show more accurate performance on a speeded name verification task for identities learned in high compared to low variability. We go on to show that exposure to high variability across just two images improves performance on a face matching task. The results demonstrate the critical role of variability in face learning.

Meeting abstract presented at VSS 2015

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×