Evaluating training with cognitive state sensing technology

Patrick L. Craven, Patrice D. Tremoulet, Joyce H. Barton, Steven J. Tourville, Yaela Dahan-Marks

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

4 Scopus citations

Abstract

Five different training techniques (classroom, video, game-based, computer-based, and simulator) were compared using neurophysiological measurements. The best performance was displayed by individuals in the classroom and video conditions. These participants also displayed the lowest levels of cognitive workload and the highest levels of engagement. The poorest performance on the training was exhibited by individuals in the computer-based and game conditions. These participants also displayed the highest levels of cognitive workload, the lowest levels of engagement, and computer-based had the highest levels of drowsiness. As expected, the testing phases of the training had the highest levels of workload. In general, engagement dropped and distraction increased during the training phase when the material was first presented to participants. However, participants who could keep engagement high during this period performed better. This suggests that mental state monitoring during training could help provide a mechanism for alleviating distraction and inattention and boost training efficacy.

Original languageEnglish (US)
Title of host publicationFoundations of Augmented Cognition
Subtitle of host publicationNeuroergonomics and Operational Neuroscience - 5th International Conference, FAC 2009, Held as Part of HCI International 2009, Proceedings
Pages585-594
Number of pages10
DOIs
StatePublished - Dec 1 2009
Event5th International Conference on Foundations of Augmented Cognition, FAC 2009, Held as Part of HCI International 2009 - San Diego, CA, United States
Duration: Jul 19 2009Jul 24 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5638 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Foundations of Augmented Cognition, FAC 2009, Held as Part of HCI International 2009
CountryUnited States
CitySan Diego, CA
Period7/19/097/24/09

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Craven, P. L., Tremoulet, P. D., Barton, J. H., Tourville, S. J., & Dahan-Marks, Y. (2009). Evaluating training with cognitive state sensing technology. In Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience - 5th International Conference, FAC 2009, Held as Part of HCI International 2009, Proceedings (pp. 585-594). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5638 LNAI). https://doi.org/10.1007/978-3-642-02812-0_67