Flow State Detection

Flow State Detection is a computational method within learner engagement modeling that identifies the psychological state of optimal engagement, characterized by intense focus and intrinsic motivation, through real-time analysis of behavioral, physiological, or interactional indicators during learning tasks.

82

Publications

3.6K

Citations

277

Authors

130

Institutions

Publications per year

2017–2026

32

Authors

277

  1. IS
    Ion Stoica

    University of California, Berkeley, United States

    3 publications · 431 citations

    3

    h-index

  2. FW
    Frank Westphal

    Society for Chemical Engineering and Biotechnology, Germany

    2 publications · 32 citations

    2

    h-index

  3. LB
    Lee Breslau

    AT&T (United States), United States

    2 publications · 405 citations

    2

    h-index

  4. JP
    John Pates

    Sheffield Hallam University, United Kingdom

    2 publications · 72 citations

    2

    h-index

  5. EW
    Edward W. Knightly

    Rice University, United States

    2 publications · 405 citations

    2

    h-index

1–5 of 277

Venues

  1. Computers in Human Behavior

    3 publications · 363 citations

    3

    h-index

  2. Journal of Retailing and Consumer Services

    2 publications · 105 citations

    2

    h-index

  3. Physics of Fluids

    2 publications · 84 citations

    2

    h-index

  4. Perceptual and Motor Skills

    2 publications · 72 citations

    2

    h-index

  5. Chemie Ingenieur Technik

    2 publications · 32 citations

    2

    h-index

1–5