The dynamics of attentional guidance by working memory contents

Park, Hyung-Bum; Zhang, Weiwei

doi:10.1016/j.cognition.2023.105638

Cited by 3 publications

(1 citation statement)

References 30 publications

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“…The movements made towards different options can reveal discrete events, like changing one's choice (Resulaj et al, 2009), but have seen great use in monitoring ongoing perceptual and cognitive processes (Dotan et al, 2019;Freeman et al, 2011;Koenig-Robert et al, 2023;Song & Nakayama, 2009;Spivey & Dale, 2006). "Mouse tracking" has been applied to investigate a number of areas, such as lexical (Spivey et al, 2005) and numeric processing (Song & Nakayama, 2008), psychophysics (Bonnen et al, 2015), perceptual decision-making confidence (van den Berg et al, 2016), high-level cognitive decision-making (McKinstry et al, 2008), and working memory (Park & Zhang, 2024). This technique is also seeing use online (Ericson et al, 2021;Koenig-Robert et al, 2023;Kukona & Jordan, 2023;Li et al, 2023;Meidenbauer et al, 2023).…”

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confidence: 99%

Input device matters for measures of behaviour in online experiments

Warburton,

Campagnoli,

Mon-Williams

et al. 2024

Preprint

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Studies of perception, cognition, and action increasingly rely on measures derived from the movements of a cursor to investigate how psychological processes unfold over time. This method is one of the most sensitive measures available for remote experiments conducted online, but experimenters have little control over the input device used by participants, typically a mouse or trackpad. These two devices require biomechanically distinct movements to operate, so measures extracted from cursor tracking data may differ between input devices. We investigated this in two online experiments requiring participants to execute goal-directed movements. We identify several measures that are critically influenced by the choice of input device using a kinematic decomposition of the recorded cursor trajectories. This applied to both temporal and spatial variables, for example trackpad users showed greater reaction times but lower variability in movement directions when compared to mouse users. We believe there is a substantial risk that behavioural disparities caused by the input device used could be misidentified as differences in psychological processes. We urge researchers to collect data on input devices in online experiments and carefully consider and account for the effect they may have on their experimental data.

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mentioning

confidence: 99%

Input device matters for measures of behaviour in online experiments

Warburton,

Campagnoli,

Mon-Williams

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Input device matters for measures of behaviour in online experiments

Warburton,

Campagnoli,

Mon-Williams

et al. 2024

Psychological Research

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Studies of perception, cognition, and action increasingly rely on measures derived from the movements of a cursor to investigate how psychological processes unfold over time. This method is one of the most sensitive measures available for remote experiments conducted online, but experimenters have little control over the input device used by participants, typically a mouse or trackpad. These two devices require biomechanically distinct movements to operate, so measures extracted from cursor tracking data may differ between input devices. We investigated this in two online experiments requiring participants to execute goal-directed movements. We identify several measures that are critically influenced by the choice of input device using a kinematic decomposition of the recorded cursor trajectories. Those using a trackpad were slower to acquire targets, mainly attributable to greater times required to initiate movements and click on targets, despite showing greater peak speeds and lower variability in their movements. We believe there is a substantial risk that behavioural disparities caused by the input device used could be misidentified as differences in psychological processes. We urge researchers to collect data on input devices in online experiments and carefully consider and account for the effect they may have on their experimental data.

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Contributions of global and local processing on medical image perception

et al. 2023

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Purpose: The influential holistic processing hypothesis attributes expertise in medical image perception to cognitive processing of global gist information. However, it has remained unclear whether or how experts use rapid global impression of images for their subsequent diagnostic decisions based on the focal sign of cancer. We hypothesized that continuous-global and discrete-local processes jointly attribute to radiological experts' detection of mammogram, with different weights and temporal dynamics.Approach: We examined experienced versus inexperienced observers' performance at first (500 ms) versus second (2500 ms) mammogram image presentation in an abnormality detection task. We applied a dual-trace signal detection (DTSD) model of receiver operating characteristic (ROC) to assess the time-varying contributions of global and focal cancer signals on mammogram reading and medical expertise. Results:The hierarchical Bayesian DTSD modeling of empirical ROCs revealed that mammogram expertise (experienced versus inexperienced observers) manifests largely in a continuousglobal component for the detection of the gist of abnormality at the early phase of mammogram reading. For the second presentation of the same mammogram images, the experienced participants showed increased task performance that was largely driven by better processing of discrete-local information, whereas the global processing of abnormality remained saturated from the first exposure. Modeling of the mouse trajectory of the confidence rating responses further revealed the temporal dynamics of global and focal processing.Conclusions: These results suggest a joint contribution of continuous-global and discrete-local processes on medical expertise, and these processes could be analytically dissociated.

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The dynamics of attentional guidance by working memory contents

Cited by 3 publications

References 30 publications

Input device matters for measures of behaviour in online experiments

Input device matters for measures of behaviour in online experiments

Input device matters for measures of behaviour in online experiments

Contributions of global and local processing on medical image perception

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