Pupil Sizes Scale with Attentional Load and Task Experience in a Multiple Object Tracking Task

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Pupil Sizes Scale with Attentional Load and Task Experience in a Multiple Object Tracking Task. / Wahn, Basil; Ferris, Daniel P; Hairston, W David; König, Peter.

in: PLOS ONE, Jahrgang 11, Nr. 12, 2016, S. e0168087.

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@article{8eb929ac831e4fb69c865618011d49ea,
title = "Pupil Sizes Scale with Attentional Load and Task Experience in a Multiple Object Tracking Task",
abstract = "Previous studies have related changes in attentional load to pupil size modulations. However, studies relating changes in attentional load and task experience on a finer scale to pupil size modulations are scarce. Here, we investigated how these changes affect pupil sizes. To manipulate attentional load, participants covertly tracked between zero and five objects among several randomly moving objects on a computer screen. To investigate effects of task experience, the experiment was conducted on three consecutive days. We found that pupil sizes increased with each increment in attentional load. Across days, we found systematic pupil size reductions. We compared the model fit for predicting pupil size modulations using attentional load, task experience, and task performance as predictors. We found that a model which included attentional load and task experience as predictors had the best model fit while adding performance as a predictor to this model reduced the overall model fit. Overall, results suggest that pupillometry provides a viable metric for precisely assessing attentional load and task experience in visuospatial tasks.",
author = "Basil Wahn and Ferris, {Daniel P} and Hairston, {W David} and Peter K{\"o}nig",
year = "2016",
doi = "10.1371/journal.pone.0168087",
language = "English",
volume = "11",
pages = "e0168087",
journal = "PLOS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "12",

}

RIS

TY - JOUR

T1 - Pupil Sizes Scale with Attentional Load and Task Experience in a Multiple Object Tracking Task

AU - Wahn, Basil

AU - Ferris, Daniel P

AU - Hairston, W David

AU - König, Peter

PY - 2016

Y1 - 2016

N2 - Previous studies have related changes in attentional load to pupil size modulations. However, studies relating changes in attentional load and task experience on a finer scale to pupil size modulations are scarce. Here, we investigated how these changes affect pupil sizes. To manipulate attentional load, participants covertly tracked between zero and five objects among several randomly moving objects on a computer screen. To investigate effects of task experience, the experiment was conducted on three consecutive days. We found that pupil sizes increased with each increment in attentional load. Across days, we found systematic pupil size reductions. We compared the model fit for predicting pupil size modulations using attentional load, task experience, and task performance as predictors. We found that a model which included attentional load and task experience as predictors had the best model fit while adding performance as a predictor to this model reduced the overall model fit. Overall, results suggest that pupillometry provides a viable metric for precisely assessing attentional load and task experience in visuospatial tasks.

AB - Previous studies have related changes in attentional load to pupil size modulations. However, studies relating changes in attentional load and task experience on a finer scale to pupil size modulations are scarce. Here, we investigated how these changes affect pupil sizes. To manipulate attentional load, participants covertly tracked between zero and five objects among several randomly moving objects on a computer screen. To investigate effects of task experience, the experiment was conducted on three consecutive days. We found that pupil sizes increased with each increment in attentional load. Across days, we found systematic pupil size reductions. We compared the model fit for predicting pupil size modulations using attentional load, task experience, and task performance as predictors. We found that a model which included attentional load and task experience as predictors had the best model fit while adding performance as a predictor to this model reduced the overall model fit. Overall, results suggest that pupillometry provides a viable metric for precisely assessing attentional load and task experience in visuospatial tasks.

U2 - 10.1371/journal.pone.0168087

DO - 10.1371/journal.pone.0168087

M3 - SCORING: Journal article

C2 - 27977762

VL - 11

SP - e0168087

JO - PLOS ONE

JF - PLOS ONE

SN - 1932-6203

IS - 12

ER -