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Towards Mind Wandering Adaptive Online Learning and Virtual Work Experiences

In: Information Systems and Neuroscience

Author

Listed:
  • Colin Conrad

    (Dalhousie University)

  • Aaron J. Newman

    (Dalhousie University)

Abstract

NeuroIS researchers have become increasingly interested in the design of new types of information systems that leverage neurophysiological data. In this paper we describe the results of machine learning analysis which validates a method for the passive detection of mind wandering. Following the presentation of the results, we describe ways that this technique could be applied to create a neuroadaptive online learning and virtual meeting tool which may improve users’ retention of information by providing auditory feedback.

Suggested Citation

  • Colin Conrad & Aaron J. Newman, 2022. "Towards Mind Wandering Adaptive Online Learning and Virtual Work Experiences," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph & Gernot (ed.), Information Systems and Neuroscience, pages 261-267, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-13064-9_27
    DOI: 10.1007/978-3-031-13064-9_27
    as

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