2022
DOI: 10.3758/s13423-022-02128-7
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Trial-by-trial mouse trajectory predicts variance in precision across working memory representations: A critical reanalysis of Hao et al. (2021)

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Cited by 4 publications
(14 citation statements)
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“…Traditionally, interference is considered as arising largely from lures and targets presented at study, yet we observed interference between the contents of working memory and information presented during the response phase of the task itself (Figure 5,6). These findings extend previous mouse-tracking work finding between-item interference for colors (Hao et al, 2021;Park & Zhang, 2022) to more complex shape-color object representations, as well as show that interference may arise from the similarity match between what is being held in memory with what is shown on the screen.…”
Section: Discussionsupporting
confidence: 86%
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“…Traditionally, interference is considered as arising largely from lures and targets presented at study, yet we observed interference between the contents of working memory and information presented during the response phase of the task itself (Figure 5,6). These findings extend previous mouse-tracking work finding between-item interference for colors (Hao et al, 2021;Park & Zhang, 2022) to more complex shape-color object representations, as well as show that interference may arise from the similarity match between what is being held in memory with what is shown on the screen.…”
Section: Discussionsupporting
confidence: 86%
“…Mouse-tracking as participants reconstructed shape-color objects over perceptually uniform space (Figure 1b) revealed two critical insights. First, mouse-tracking converts tasks which would measure only a single observation each trial (e.g., yes/no on a discrete task or the final error response on a continuous reconstruction task) into tasks measuring hundreds of observations each trial at millisecond temporal resolution (see Hao et al, 2021;Park & Zhang, 2022 for previous mouse-tracking approaches applied to working memory). Even when the number of trials in an experiment may be limited due to time constraints inherent with online OBJECT RECONSTRUCTION 32 testing, our mouse-tracking analyses was well powered because information from the entire trajectory could be incorporated into the analyses (Figure 5, 6).…”
Section: Discussionmentioning
confidence: 99%
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“…Specifically, participants reported whether the mammogram image is normal or abnormal, along with the level of confidence, by moving the mouse cursor from the fixed starting point (the center of the half circle scale) to a point on the confidence scale. The scale comprised of 90 points (1 to 90 from top to bottom) with the top (1) to the right-middle (45) of the half-circle scale representing continuous levels of confidence from sure, probably, to guess for "normal" responses, and the right-middle (46) to the bottom (90) of the scale representing the confidence levels from guess, probably, to sure for abnormal responses (labeled by text along the scale).…”
Section: Stimuli and Proceduresmentioning
confidence: 99%
“…We chose noninformative and reasonably informative priors following previous studies with similar modeling approach. 46 Statistical inference was made based on the mean of the posterior parameter distribution and its 95% credible interval (highest density interval, HDI 95% ) of the population-level parameters. 47 The HDI 95% is conceptually similar to the frequentist 95% confidence interval, representing the smallest interval of parameter values covered by 95% of the posterior density and can be used as the Bayesian estimate of the certainty or the strength of evidence.…”
Section: Hierarchical Bayesian Dtsd Modeling Of Rocmentioning
confidence: 99%