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2018 | OriginalPaper | Buchkapitel

Predicting Properties of Cognitive Pupillometry in Human–Computer Interaction: A Preliminary Investigation

verfasst von : Pierre-Majorique Léger, Patrick Charland, Sylvain Sénécal, Stéphane Cyr

Erschienen in: Information Systems and Neuroscience

Verlag: Springer International Publishing

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Abstract

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.

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Titel: Predicting Properties of Cognitive Pupillometry in Human–Computer Interaction: A Preliminary Investigation
verfasst von: Pierre-Majorique Léger
Patrick Charland
Sylvain Sénécal
Stéphane Cyr
Verlag: Springer International Publishing
Buch: Information Systems and Neuroscience
Print ISBN: 978-3-319-67430-8

Electronic ISBN: 978-3-319-67431-5

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-67431-5_14

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