Dataset Information

Examining the effects of a modified SART when measuring mind-wandering.

ABSTRACT:

Objective

Mind-wandering (MW) is defined as a shift of attention from external tasks toward internal thoughts and is popularly measured by the sustained attention to response task (SART). SART is able to capture MW, but cannot track the dynamics of mind-wandering over time well. We thus attempted to modify the sustained attention to response task paradigm (mSART) to capture the participant's mind-wandering state over time and quantify the degree of mind-wandering using the current behavioral data.

Methods

179 participants from Wenzhou Medical University were recruited to participate in this experiment. The main changes to the experiment included (1) manipulating different no-go stimuli frequencies to control the difficulty of the task and setting 9 modes; (2) extending the experiment time to 30 min; (3) allowing participants to correct errors by pressing the b key. Error rate, Mean RTs, RT CV, and d' were used to reflect MW. Analysis of covariance (ANCOVA) was performed.

Results

ANOVA was used to explore Mean RTs, RT CV and d' for participants with different levels of mind-wandering and significant differences were found (Mean RTs:Welch's F (2, 8606.04) = 579.00, p < .001, η_p ² = 0.03; RT CV:Welch's F (2, 198.11) = 69.93, p < .001, η_p ² = 0.18; d':F (2, 176) = 19.88, p < .001, η_p ² = 0.18). The 30-min experiment was divided into six time windows, and mind-wandering deepens over time.

Conclusions

The mSART paradigm could quantify the extent of MW based on changes in the frequency at which the no-go stimuli were presented and also revealed that the recommended length of the experiment was about 20 min.

SUBMITTER: Liu Y

PROVIDER: S-EPMC10498071 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

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Publications

Examining the effects of a modified SART when measuring mind-wandering.

Liu Yuqing Y Dong Qin Q Yu ChengHao C Jin YuTong Y Fang ChenYuan C Hu Yu Y Zhou Qiang Q

Brain and behavior 20230720 9

<h4>Objective</h4>Mind-wandering (MW) is defined as a shift of attention from external tasks toward internal thoughts and is popularly measured by the sustained attention to response task (SART). SART is able to capture MW, but cannot track the dynamics of mind-wandering over time well. We thus attempted to modify the sustained attention to response task paradigm (mSART) to capture the participant's mind-wandering state over time and quantify the degree of mind-wandering using the current behavi ...[more]

PMID: 37469329

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Project description:A significant body of literature supports the contention that pupil size varies depending on cognitive load, affective state, and level of drowsiness. Here we assessed whether oculometric measures such as gaze position, blink frequency and pupil size were correlated with the occurrence and time course of self-reported mind-wandering episodes. We recorded the pupil size of two subjects engaged in a monotonous breath counting task while keeping their eyes on a fixation cross. This task is conducive to producing mind-wandering episodes. Each subject performed ten 20-min sessions, for total duration of about 4 h. Subjects were instructed to report spontaneous mind-wandering episodes by pressing a button when they lost count of their breath. After each button press, subjects filled in a short questionnaire describing the characteristics of their mind-wandering episode. We observed larger pupil size during the breath-focusing period compared to the mind-wandering period (p < 0.01 for both subjects). Our findings contradict previous research showing a higher baseline pupil size during mind wandering episodes in visual tasks. We discuss possible explanations for this discrepancy. We also analyzed nine other oculometric measures including blink rate, blink duration and gaze position. We built a support vector machine (SVM) classifier and showed that mean pupil size was the most reliable predictor of mind wandering in both subjects. The classification accuracy of mind wandering data segments vs. breath-focusing data segments was 81% for the first subject and 77% for the second subject. Additionally, we analyzed oculometric measures in light of the phenomenological data collected in the questionnaires. We showed that how well subjects remembered their thoughts while mind wandering was positively correlated with pupil size (subject 1, p < 0.001; subject 2, p < 0.05). Feelings of well being were also positively correlated with pupil size (subject 1, p < 0.001; subject 2, p < 0.001). Our results suggest that oculometric data could be used as a neurocognitive marker of mind-wandering episodes.

Dataset Information

Examining the effects of a modified SART when measuring mind-wandering.

Objective

Methods

Results

Conclusions

Publications

Examining the effects of a modified SART when measuring mind-wandering.

Similar Datasets

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