A Model Relating Pupil Diameter to Mental Workload and Lighting Conditions

Bastian Pfleging; Drea K. Fekety; Albrecht Schmidt; Andrew L. Kun

doi:10.1145/2858036.2858117

A Model Relating Pupil Diameter to Mental Workload and Lighting Conditions

Bastian Pfleging, Drea K. Fekety, Albrecht Schmidt, Andrew L. Kun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

131 Citations (Scopus)

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 eye-tracking-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.

Original language	English
Title of host publication	CHI
Publisher	Association for Computing Machinery, Inc
Pages	5776-5788
Number of pages	13
DOIs	https://doi.org/10.1145/2858036.2858117
Publication status	Published - 7 May 2016
Externally published	Yes

Bibliographical note

DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

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10.1145/2858036.2858117

https://dblp.org/db/conf/chi/chi2016.html#PflegingF0K16

Cite this

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title = "A Model Relating Pupil Diameter to Mental Workload and Lighting Conditions",

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 eye-tracking-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.",

author = "Bastian Pfleging and Fekety, {Drea K.} and Albrecht Schmidt and Kun, {Andrew L.}",

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PY - 2016/5/7

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N2 - 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 eye-tracking-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.

AB - 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 eye-tracking-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.

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ER -

A Model Relating Pupil Diameter to Mental Workload and Lighting Conditions

Abstract

Bibliographical note

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