Variance Discrimination Between Orientation and Size: Efficiencies in Cross-Task

Ueda, Sachiyo; Ishiguchi, Akira; Tokita, Midori

doi:10.1037/e528942014-326

Cited by 2 publications

(3 citation statements)

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“…The JND of the variance task was estimated to be 7.02 . The JND was also similar to the precision of the variance discrimination tasks in previous studies that used simple Gabor patches (Tokita & Ishiguchi, 2015;Ueda et al, 2014). Thus, it is indicated that observers could discriminate the variance between sets of objects such as lollypops with similar precision as observed for simpler stimuli such as Gabor patches.…”

Section: Orientation Domainsupporting

confidence: 83%

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Is There a Common Summary Statistical Process for Representing the Mean and Variance? A Study Using Illustrations of Familiar Items

2018

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A number of studies revealed that our visual system can extract different types of summary statistics, such as the mean and variance, from sets of items. Although the extraction of such summary statistics has been studied well in isolation, the relationship between these statistics remains unclear. In this study, we explored this issue using an individual differences approach. Observers viewed illustrations of strawberries and lollypops varying in size or orientation and performed four tasks in a within-subject design, namely mean and variance discrimination tasks with size and orientation domains. We found that the performances in the mean and variance discrimination tasks were not correlated with each other and demonstrated that extractions of the mean and variance are mediated by different representation mechanisms. In addition, we tested the relationship between performances in size and orientation domains for each summary statistic (i.e. mean and variance) and examined whether each summary statistic has distinct processes across perceptual domains. The results illustrated that statistical summary representations of size and orientation may share a common mechanism for representing the mean and possibly for representing variance. Introspections for each observer performing the tasks were also examined and discussed.

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Section: Orientation Domainsupporting

confidence: 83%

“…The Wf was estimated to be 0.39 (in SD ). The Wf value was almost equivalent to the precision of the variance discrimination task in previous studies that used discs as items in a set ( Tokita et al., 2016 ; Ueda, Tokita, & Ishiguchi, 2014 ). In this study, the Wf was ranged from 0.35 to 0.42 for a 75% correct rate.…”

Section: Resultsmentioning

confidence: 87%

Is There a Common Summary Statistical Process for Representing the Mean and Variance? A Study Using Illustrations of Familiar Items

2018

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“…Moreover, we also tested whether the adaptation aftereffect of variance perception occurred across different modalities. Variance extraction has unique characteristics that differ from the mean, which is a highly common statistic across different stimuli attributes and sensory modalities (Maule & Franklin, 2020;Ueda et al, 2014Ueda et al, , 2018. For example, when there are different-sized oranges and matchsticks lined up in different orientations, it is nonsensical to compare the average size with that of the orientation.…”

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confidence: 99%

Variance aftereffect within and between sensory modalities for visual and auditory domains

Ueda

Yakushijin

Ishiguchi

2023

Atten Percept Psychophys

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We can grasp various features of the outside world using summary statistics efficiently. Among these statistics, variance is an index of information homogeneity or reliability. Previous research has shown that visual variance information in the context of spatial integration is encoded directly as a unique feature, and currently perceived variance can be distorted by that of the preceding stimuli. In this study, we focused on variance perception in temporal integration. We investigated whether any variance aftereffects occurred in visual size and auditory pitch. Furthermore, to examine the mechanism of cross-modal variance perception, we also investigated whether variance aftereffects occur between different modalities. Four experimental conditions (a combination of sensory modalities of adaptor and test: visual-to-visual, visual-to-auditory, auditory-to-auditory, and auditory-to-visual) were conducted. Participants observed a sequence of visual or auditory stimuli perturbed in size or pitch with certain variance and performed a variance classification task before and after the variance adaptation phase. We found that in visual size, within modality adaptation to small or large variance, resulted in a variance aftereffect, indicating that variance judgments are biased in the direction away from that of the adapting stimulus. In auditory pitch, within modality adaptation to small variance caused variance aftereffect. For cross-modal combinations, adaptation to small variance in visual size resulted in variance aftereffect. However, the effect was weak, and variance aftereffect did not occur in other conditions. These findings indicate that the variance information of sequentially presented stimuli is encoded independently in visual and auditory domains.

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Variance Discrimination Between Orientation and Size: Efficiencies in Cross-Task

Cited by 2 publications

References 0 publications

Is There a Common Summary Statistical Process for Representing the Mean and Variance? A Study Using Illustrations of Familiar Items

Is There a Common Summary Statistical Process for Representing the Mean and Variance? A Study Using Illustrations of Familiar Items

Variance aftereffect within and between sensory modalities for visual and auditory domains

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