September 2011
Volume 11, Issue 11
Free
Vision Sciences Society Annual Meeting Abstract  |   September 2011
Target detection at 50 or 33 ms/picture in RSVP
Author Affiliations
  • Mary Potter
    Massachusetts Institute of Technology
  • Brad Wyble
    Syracuse University
  • Emily McCourt
    Massachusetts Institute of Technology
  • Daniel Stofleth
    Syracuse University
Journal of Vision September 2011, Vol.11, 275. doi:10.1167/11.11.275
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Mary Potter, Brad Wyble, Emily McCourt, Daniel Stofleth; Target detection at 50 or 33 ms/picture in RSVP. Journal of Vision 2011;11(11):275. doi: 10.1167/11.11.275.

      Download citation file:


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

      ×
  • Supplements
Abstract

Detecting a picture in a rapid serial visual presentation (RSVP) on the basis of a verbal title given just before the sequence (e.g., people in a restaurant) has been shown to be surprisingly easy when pictures are presented for about 100 ms (Potter, 1975). In the present study we presented color photographs of a wide variety of scenes at still higher rates, including 50 ms/picture in six-picture RSVP sequences; the sixth picture functioned as a mask and was never the target. Performance given a verbal title was strikingly good: At 50 ms/picture, the hit rate was .71 and the false yes rate was .14, an overall accuracy of .79. Whether or not the subject had detected the target picture, each target-present trial was followed by a forced choice test between two pictures, both of which matched the target title (but only one had been in the sequence). Even with this more severe test, performance was high and significantly above chance at the 50 ms presentation rate: .775 correct. In work in progress, we find that detection performance remains above chance (.725, N = 5) when the rate is 33 ms/picture (so that the whole sequence takes only 200 ms), although now the difficult forced-choice task is close to chance, at .57. This work suggests that it is not only global image statistics that can be picked up at high rates of presentation, but also more specific object and gist information.

MH47432. 
×
×

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.

×