This paper aims to investigate the predictive property of pupil dilation in an IT-related task. Previous work in the field of cognitive pupillometry has established that pupil size is associated with cognitive load. We conducted a within-subject experiment with 22 children aged between 7 and 9. For the hard questions, visit duration, pupil size and its quadratic effect were significant predictors. We discuss the potential of using this unobtrusive approach for neuro-adaptive and auto-adaptive applications.
CITATION STYLE
Léger, P. M., Charland, P., Sénécal, S., & Cyr, S. (2017). Predicting properties of cognitive pupillometry in human–computer interaction: A preliminary investigation. In Lecture Notes in Information Systems and Organisation (Vol. 25, pp. 121–127). Springer Heidelberg. https://doi.org/10.1007/978-3-319-67431-5_14
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