Title |
Pupil dilation as an index of effort in cognitive control tasks: A review
|
---|---|
Published in |
Psychonomic Bulletin & Review, February 2018
|
DOI | 10.3758/s13423-018-1432-y |
Pubmed ID | |
Authors |
Pauline van der Wel, Henk van Steenbergen |
Abstract |
Pupillometry research has experienced an enormous revival in the last two decades. Here we briefly review the surge of recent studies on task-evoked pupil dilation in the context of cognitive control tasks with the primary aim being to evaluate the feasibility of using pupil dilation as an index of effort exertion, rather than task demand or difficulty. Our review shows that across the three cognitive control domains of updating, switching, and inhibition, increases in task demands typically leads to increases in pupil dilation. Studies show a diverging pattern with respect to the relationship between pupil dilation and performance and we show how an effort account of pupil dilation can provide an explanation of these findings. We also discuss future directions to further corroborate this account in the context of recent theories on cognitive control and effort and their potential neurobiological substrates. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 11 | 27% |
United States | 9 | 22% |
Canada | 2 | 5% |
Netherlands | 2 | 5% |
China | 1 | 2% |
Ireland | 1 | 2% |
Korea, Republic of | 1 | 2% |
France | 1 | 2% |
Unknown | 13 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 20 | 49% |
Members of the public | 17 | 41% |
Practitioners (doctors, other healthcare professionals) | 2 | 5% |
Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 758 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 153 | 20% |
Student > Master | 113 | 15% |
Researcher | 101 | 13% |
Student > Bachelor | 52 | 7% |
Student > Doctoral Student | 47 | 6% |
Other | 108 | 14% |
Unknown | 184 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 219 | 29% |
Neuroscience | 101 | 13% |
Engineering | 40 | 5% |
Computer Science | 26 | 3% |
Medicine and Dentistry | 26 | 3% |
Other | 121 | 16% |
Unknown | 225 | 30% |