Article

Pupillary response based cognitive workload measurement under luminance changes

Authors:

Jie Xu,

Yang Wang,

Fang Chen,

Eric ChoiAuthors Info & Claims

INTERACT'11: Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part II

Pages 178 - 185

Published: 05 September 2011 Publication History

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Abstract

Pupillary response has been widely accepted as a physiological index of cognitive workload. It can be reliably measured with remote eye trackers in a non-intrusive way. However, pupillometric measurement might fail to assess cognitive workload due to the variation of luminance conditions. To overcome this problem, we study the characteristics of pupillary responses at different stages of cognitive process when performing arithmetic tasks, and propose a fine-grained approach for cognitive workload measurement. Experimental results show that cognitive workload could be effectively measured even under luminance changes.

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Berkovsky STaib RKoprinska IWang EZeng YLi JKleitman SBrewster SFitzpatrick GCox AKostakos V(2019)Detecting Personality Traits Using Eye-Tracking DataProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300451(1-12)Online publication date: 2-May-2019
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Zhou JYu KChen FWang YArshad S(2018)Multimodal behavioral and physiological signals as indicators of cognitive loadThe Handbook of Multimodal-Multisensor Interfaces10.1145/3107990.3108002(287-329)Online publication date: 1-Oct-2018
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Gwizdka JElsweiler DLudwig BAzzopardi LWilson M(2014)Characterizing relevance with eye-tracking measuresProceedings of the 5th Information Interaction in Context Symposium10.1145/2637002.2637011(58-67)Online publication date: 26-Aug-2014
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Pupillary response based cognitive workload measurement under luminance changes
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

INTERACT'11: Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part II

September 2011

691 pages

ISBN:9783642237706

Editors:
Pedro Campos
University of Madeira, Funchal, Portugal
,
Nuno Nunes
University of Madeira, Funchal, Portugal
,
Nicholas Graham
Queen's University, Kingston, ON, Canada
,
Joaquim Jorge
Instituto Superior Técnico, Lisbon, Portugal
,
Philippe Palanque
University Paul Sabatier, Toulouse Cedex, France

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 05 September 2011

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Berkovsky STaib RKoprinska IWang EZeng YLi JKleitman SBrewster SFitzpatrick GCox AKostakos V(2019)Detecting Personality Traits Using Eye-Tracking DataProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300451(1-12)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300451
Zhou JYu KChen FWang YArshad S(2018)Multimodal behavioral and physiological signals as indicators of cognitive loadThe Handbook of Multimodal-Multisensor Interfaces10.1145/3107990.3108002(287-329)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1145/3107990.3108002
Gwizdka JElsweiler DLudwig BAzzopardi LWilson M(2014)Characterizing relevance with eye-tracking measuresProceedings of the 5th Information Interaction in Context Symposium10.1145/2637002.2637011(58-67)Online publication date: 26-Aug-2014
https://dl.acm.org/doi/10.1145/2637002.2637011
Wang WLi ZWang YChen FKim JNichols JSzekely P(2013)Indexing cognitive workload based on pupillary response under luminance and emotional changesProceedings of the 2013 international conference on Intelligent user interfaces10.1145/2449396.2449428(247-256)Online publication date: 19-Mar-2013
https://dl.acm.org/doi/10.1145/2449396.2449428
Conway DDick ILi ZWang YChen F(2013)The Effect of Stress on Cognitive Load Measurement14th IFIP TC 13 International Conference on Human-Computer Interaction --- INTERACT 2013 - Volume 812010.1007/978-3-642-40498-6_58(659-666)Online publication date: 2-Sep-2013
https://dl.acm.org/doi/10.1007/978-3-642-40498-6_58

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Pupillary response based cognitive workload index under luminance and emotional changes

Indexing cognitive workload based on pupillary response under luminance and emotional changes

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