Pupil Diameter and Performance in a Supervisory Control Task: A Measure of Effort or Individual Differences?

The relationship between increased pupil diameter and effort has been well established within the Psychology literature since the 1960s. The ability to detect an individuals’ effort is important, particularly in tasks where there are extended periods of monitoring, and limited ways to directly measure performance. The current study sought to investigate whether pupil diameter could be used to detect periods of high and low workload during an unmanned vehicle supervisory control task. Participants were Navy and Marine Corps student pilots, and the experimenters had access to their aviation selection test scores. The study found increased pupil diameters when the task load increased. In addition, pupil diameter during the high task load condition was significantly correlated with the individual’s performance on the supervisory control task. This paper discusses two possible explanations for this finding: 1) that those individuals who performed better on the task were trying harder or, 2) that pupil diameter was capturing differences in general fluid intelligence which influenced task performance. Previous research has shown that differences in an individual’s working memory capacity are correlated with pupil diameter at rest. Further the significant correlation between pupil diameter and the pilot’s selection test scores in this study provide additional evidence that pupil diameter may be capturing individual differences.

[1]  D Gopher,et al.  A Selective Attention Test as a Predictor of Success in Flight Training , 1982, Human factors.

[2]  J. Beatty,et al.  The pupillary system. , 2000 .

[3]  Steven D. Ostoin An Assessment of the Performance-Based Measurement Battery (PBMB), the Navy's Psychomotor Supplement to the Aviation Selection Test Battery (ASTB) , 2007 .

[4]  W. S. Peavler,et al.  Pupil size, information overload, and performance differences. , 1974, Psychophysiology.

[5]  R. Ornstein,et al.  Pupillary Responses During Information Processing Vary with Scholastic Aptitude Test Scores , 2022 .

[6]  Fritz Drasgow,et al.  Development of Scoring Procedures for the Performance Based Measurement (PBM) Test: Psychometric and Criterion Validity Investigation , 2011 .

[7]  Joseph T. Coyne,et al.  Investigating the Use of Two Low Cost Eye Tracking Systems for Detecting Pupillary Response to Changes in Mental Workload , 2016 .

[8]  Joseph T. Coyne,et al.  Demonstrating the Supervisory Control Operations User Testbed (SCOUT) , 2016 .

[9]  Hava T. Siegelmann,et al.  EyeFrame: Real-Time Memory Aid Improves Human Multitasking via Domain-General Eye Tracking Procedures , 2015, Front. ICT.

[10]  E. Hess,et al.  Pupil Size in Relation to Mental Activity during Simple Problem-Solving , 1964, Science.

[11]  Richard P. Heitz,et al.  Effects of incentive on working memory capacity: behavioral and pupillometric data. , 2007, Psychophysiology.

[12]  Jackson Beatty,et al.  Pupillometric Measurement of Cognitive Workload , 1977 .

[13]  Ulf Ahlstrom,et al.  Using eye movement activity as a correlate of cognitive workload , 2006 .

[14]  R. O’Connell,et al.  Pupil diameter covaries with BOLD activity in human locus coeruleus , 2014, Human brain mapping.

[15]  Joseph T. Coyne,et al.  Pupillary Response as an Indicator of Processing Demands Within a Supervisory Control Simulation Environment , 2015 .

[16]  Andrew L. Kun,et al.  Estimating cognitive load using remote eye tracking in a driving simulator , 2010, ETRA.

[17]  Jason S. Tsukahara,et al.  The relationship between baseline pupil size and intelligence , 2016, Cognitive Psychology.