Exploring emotion in an e-learning system using eye tracking

Saromporn Charoenpit, Michiko Ohkura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Since appropriate emotions are a sign of mental health, learners who have good mental health learn more successfully. In e-learning systems, emotions are critical for learners to create positive contexts for optimal learning. To data, however, few e-learning systems have derived emotions from eye tracking data. With eye tracking equipment, we recorded the eye movements of learners and calculated their eye metric indexes, which we focused on to explore their relationship to two learner emotions: interest and boredom. We designed and implemented a prototype and experimentally evaluated it.

Original languageEnglish
Title of host publicationIEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CICARE 2014
Subtitle of host publication2014 IEEE Symposium on Computational Intelligence in Healthcare and e-Health, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages141-147
Number of pages7
ISBN (Electronic)9781479945283
DOIs
Publication statusPublished - 2015 Jan 12
Event2014 2nd IEEE Symposium on Computational Intelligence in Healthcare and e-Health, CICARE 2014 - Orlando, United States
Duration: 2014 Dec 92014 Dec 12

Publication series

NameIEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CICARE 2014: 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-Health, Proceedings

Conference

Conference2014 2nd IEEE Symposium on Computational Intelligence in Healthcare and e-Health, CICARE 2014
Country/TerritoryUnited States
CityOrlando
Period14/12/914/12/12

Keywords

  • E-learning
  • Emotion
  • Eye tracking

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Exploring emotion in an e-learning system using eye tracking'. Together they form a unique fingerprint.

Cite this