Perceptual learning of detection of textures in noise.

Journal of Vision
Zahra Hussain, P J Bennett

Abstract

We examined whether the effects of practice on visual detection are stimulus specific and whether practice alters response bias. Eighty-four subjects performed yes-no detection of band-limited noise patterns (textures) in two levels of external noise, on two consecutive days. On day 2, one-half of the observers switched to novel textures. Texture contrast was varied on signal-present trials using the method of constant stimuli. The signal was present on 50% of the trials. We measured d', detection thresholds, and two measures of response criterion: a global criterion that was based on sensitivity at all signal levels (Jones et al., 2015) and a local criterion computed at a hit rate of 70% or 80% (Wenger & Rasche, 2006). Performance improved for both groups on day 2, indicating that improvement transferred to novel textures. Increases in d' were associated with a decrease in false alarms across days. The global criterion became less liberal and became more optimal (i.e., less biased) with practice; however, this effect was small and was not statistically significant in all conditions. The local criterion measure also became slightly less liberal with practice in most conditions, becoming more or less optimal depending on the hit...Continue Reading

References

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Jan 5, 2007·Psychonomic Bulletin & Review·Michael J Wenger, Christoph Rasche
Oct 18, 2008·Perception & Psychophysics·Michael J WengerRobin D Thomas
Sep 18, 2009·Journal of Vision·Zahra HussainPatrick J Bennett
May 19, 2011·Psychological Science·Zahra HussainPatrick J Bennett
Jul 12, 2012·Frontiers in Psychology·Zahra HussainPatrick J Bennett
Sep 7, 2014·Journal of Vision·Ilmari Kurki, Miguel P Eckstein
Apr 14, 2015·Journal of Experimental Psychology. Learning, Memory, and Cognition·Pete R JonesSygal Amitay
Jun 15, 2017·Journal of Vision·Lukasz GrzeczkowskiFred W Mast

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Citations

Oct 2, 2020·Proceedings of the National Academy of Sciences of the United States of America·Zahra Hussain

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Software Mentioned

ez package
R Core
Matlab
R software Computing
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