Previous studies have shown that increases in pupil size are correlated with increasing cognitive processing demands. Our aim was to confirm whether these findings could be replicated with new portable and less obtrusive eye-tracking technology. We assessed the percentage change of pupillary diameter from baseline as eight subjects completed a series of randomly ordered arithmetic problems of varying difficulty. The mean peak pupil diameter expressed as a percentage change from baseline was significantly greater when answering difficult questions compared to easier questions. Moreover, the time to reach peak pupillary diameter occurred significantly faster when participants answered easier questions compared to more difficult questions. Finally, there was a significant difference when all groups were compared to control. This experiment confirms findings of previous studies that show that pupillary size is related to cognitive processing demands. It also demonstrates that mobile eye-trackers can be used to reliably gather this type of data. Furthermore, this experiment provides the basis for future studies using eye-tracking technology in new environments, for example in the study of expertise and performance in medical crisis situations.
Increases in pupil size have been shown to correlate with increasing cognitive processing demands. These increases in pupil size occur shortly after the onset of the processing of a task and subside quickly once processing is terminated. Most importantly, the magnitude of pupillary dilation has been shown to be related to the cognitive processing load (or mental effort) needed to complete a particular mental task. Furthermore, it has been shown that task-evoked pupillary size changes are analogous to task-evoked brain potentials measured by electroencephalography [
Mental arithmetic problems have been used in previous work to study cognitive processing demands using pupillometry [
Moreover, it has been shown that pupillary diameter increases to a greater degree and the latency to peak size is greater when solving difficult problems [
Similar changes in pupil size have been found in spelling, where maximum pupil size is correlated to the difficulty of the word as well as in the solving of anagrams [
The aim of our study was to confirm whether we could use a mobile eye-tracking device to replicate the findings of previous experiments which show that changes in pupil size are related to cognitive processing load. The portability and ease of use of such a mobile eye-tracking device could be advantageous in a variety of realworld educational applications.
Nine participants, each with a minimum of an undergraduate university degree, were asked to answer arithmetic problems that were presented on a screen while wearing the Tobii Glasses Eye Tracker device. The device consists of a belt-pack connected to a pair of eye-glasses that contain cameras that are able to record a first-person view of the subjects’ surroundings, dynamic pupil position data and relative pupil size [
Each problem was presented for a total of 5 seconds after which time a black circle was shown for 10 seconds. Another problem would then follow. Periodically, a slide was presented with a black star instead of an arithmetic problem that was designed to evoke a return to baseline cognitive load; this served as the neutral stimulus. Participants were asked to concentrate their gaze at the centre of the screen at all times and focus on either the equation, the black dot or the black star that was presented in an effort to minimize the pupillary accommodation reflex. Participants were asked to verbalize answers to the problems as they arose.
Pupil diameter data, expressed as the percentage change from baseline at calibration, was exported into a spreadsheet for each participant. One of our participants’ data was excluded in its entirety due a lack of complete data, possibly from excessive blinking. In addition, the first question of each set of problems was excluded from the analysis as it was considered to be an establishment of baseline.
Data points at 30 Hz were averaged for each participant to determine a pupillary size reading for each second. These data points were then averaged for all eight included participants to give a composite mean value for each second. These last values were then grouped to show pupil size change from baseline for easy questions, difficult questions and neutral stimuli.
The study protocol was approved by the Queen’s University Health Sciences Research Ethics Board.
Change in pupil diameter for difficult questions, easy questions, and neutral stimuli, expressed as a percentage compared to baseline at calibration, was recorded (
To further quantify the response to stimuli, we measured the latency to peak dilation for the “Easy” and “Difficult” questions (
This experiment confirms findings of previous studies that show that pupillary size is related to cognitive processing demands. We have shown consistency with previous work that indicates that peak pupillary size is larger and the time to reach peak pupillary size is greater with more taxing mental arithmetic problems [
This study provides a basis for future experiments to study cognitive load and processing demands in a variety of settings. Pupillometry and gaze-tracking technology give the researcher a quantitative means to measure mental processing demands easily. We plan to build on the results of this experiment to study cognitive load in doctors and doctors-in-training during simulated medical crisis situations. We would like to characterize the differences in cognitive load as well as pupil fixation behaviours between novice physicians and expert physicians
in these circumstances. The results of these studies will be relevant in the medical education realm where cognitive demands on learners are of paramount importance. Furthermore, our aim is to eventually assess the validity of using expert behaviours identified with the eye-tracker as a component of evaluation in both undergraduate and postgraduate medical training.