Literature DB >> 31144855

The perceptual experience of variability in line orientation is greatly exaggerated.

Jessica K Witt1.   

Abstract

What is the perceptual experience of variability? Unconscious perceptual processes are well-calibrated to variability, as are unconscious motor processes, whereas cognitive processes are not well-calibrated and tend to underestimate variability. Regarding the perceptual experience of variability, perceivers are sensitive to differences in the variability of ensembles of objects, but any potential biases have not yet been explored. In the current experiments, participants viewed a set of lines at various orientations that were presented 1 at a time in a random order. Participants judged whether the orientations within each set were more similar to each other or more disperse. Although participants were sensitive to differences in spread, participants overestimated the variability of the set by 50%. The results have implications for mechanisms underlying ensemble perception, which is the extraction of summary statistics from a set of objects. In particular, there are both shared and unique processes related to perceiving similarities across objects (such as the mean orientation) and perceiving differences (such as their spread). Both visual abilities were thorough and used the full set of lines, rather than using only a subset, but the perception of spread relied more heavily on differences presented at the beginning whereas perception of the mean relied more heavily on features of the lines at the end of the animation. The results also have implications for visualizations of uncertainty, such as hurricane forecasts. A perceptual bias to overestimate variability could help counteract cognitive biases to underestimate variability. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

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Year:  2019        PMID: 31144855     DOI: 10.1037/xhp0000648

Source DB:  PubMed          Journal:  J Exp Psychol Hum Percept Perform        ISSN: 0096-1523            Impact factor:   3.332


  3 in total

1.  Variability of dot spread is overestimated.

Authors:  Jessica K Witt; Mengzhu Fu; Michael D Dodd
Journal:  Atten Percept Psychophys       Date:  2022-06-16       Impact factor: 2.199

2.  Visual bias could impede diagnostic accuracy of breast cancer calcifications.

Authors:  Jessica K Witt; Amelia C Warden; Michael D Dodd; Elizabeth E Edney
Journal:  J Med Imaging (Bellingham)       Date:  2022-06-09

Review 3.  Synergy between research on ensemble perception, data visualization, and statistics education: A tutorial review.

Authors:  Lucy Cui; Zili Liu
Journal:  Atten Percept Psychophys       Date:  2021-01-03       Impact factor: 2.199

  3 in total

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