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Ambient Facial Emotion Recognition: A Pilot Study

In: Information Systems and Neuroscience

Author

Listed:
  • 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)

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.

Suggested Citation

  • François Courtemanche & Elise Labonté-LeMoyne & David Brieugne & Emma Rucco & Sylvain Sénécal & Marc Fredette & Pierre-Majorique Léger, 2020. "Ambient Facial Emotion Recognition: A Pilot Study," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph & Thomas (ed.), Information Systems and Neuroscience, pages 284-290, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-60073-0_33
    DOI: 10.1007/978-3-030-60073-0_33
    as

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