Ambient Facial Emotion Recognition: A Pilot Study

François Courtemanche (), Elise Labonté-LeMoyne (), David Brieugne (), Emma Rucco (), Sylvain Sénécal (), Marc Fredette () and Pierre-Majorique Léger ()
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François Courtemanche: Tech3Lab, HEC Montreal
Elise Labonté-LeMoyne: Tech3Lab, HEC Montreal
David Brieugne: Tech3Lab, HEC Montreal
Emma Rucco: Tech3Lab, HEC Montreal
Sylvain Sénécal: Tech3Lab, HEC Montreal
Marc Fredette: Tech3Lab, HEC Montreal
Pierre-Majorique Léger: Tech3Lab, HEC Montreal

A chapter in Information Systems and Neuroscience, 2020, pp 284-290 from Springer

Abstract: Abstract As technology evolves, studies of user emotion in naturalistic settings in an utetherd manner becomes more and more necessary. To achieve this goal, we present a proposed architecture for synchronized automatic facial emotion recognition and physiological recording in a mobile environment in an IS context. We describe a pilot study using this infrastructure and lessons learned for researchers who wish to employ this setup in the future.

Keywords: Automatic facial emotion recognition; Naturalistic setting (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-60073-0_33

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DOI: 10.1007/978-3-030-60073-0_33

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