A model relating pupil diameter to mental workload and lighting conditions

130Citations
Citations of this article
182Readers
Mendeley users who have this article in their library.

Abstract

In this paper, we present a proof-of-concept approach to estimating mental workload by measuring the user's pupil diameter under various controlled lighting conditions. Knowing the user's mental workload is desirable for many application scenarios, ranging from driving a car, to adaptive workplace setups. Typically, physiological sensors allow inferring mental workload, but these sensors might be rather uncomfortable to wear. Measuring pupil diameter through remote eye-tracking instead is an unobtrusive method. However, a practical eyetracking-based system must also account for pupil changes due to variable lighting conditions. Based on the results of a study with tasks of varying mental demand and six different lighting conditions, we built a simple model that is able to infer the workload independently of the lighting condition in 75 % of the tested conditions.

Cite

CITATION STYLE

APA

Pfleging, B., Fekety, D. K., Schmidt, A., & Kun, A. L. (2016). A model relating pupil diameter to mental workload and lighting conditions. In Conference on Human Factors in Computing Systems - Proceedings (pp. 5776–5788). Association for Computing Machinery. https://doi.org/10.1145/2858036.2858117

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free