Cognitive User Modeling

Cognitive User Modeling is a user modeling approach that incorporates cognitive theories and processes—such as perception, memory, reasoning, and problem-solving—to represent individual differences in users' mental structures and functions, thereby enabling systems to adapt based on inferred cognitive states and capacities.

67

Publications

2.5K

Citations

162

Authors

69

Institutions

Publications per year

2017–2026

13

Authors

162

  1. RM
    Richard M. Young

    MRC Biostatistics Unit, United Kingdom

    5 publications · 305 citations

    5

    h-index

  2. FE
    Frank E. Ritter

    Pennsylvania State University, United States

    4 publications · 131 citations

    4

    h-index

  3. CC
    Cristina Conati

    University of British Columbia, Canada

    4 publications · 133 citations

    4

    h-index

  4. SL
    Sébastien Lallé

    University of British Columbia, Canada

    3 publications · 83 citations

    3

    h-index

  5. TR
    T. R. G. Green

    University of Sheffield, United Kingdom

    2 publications · 148 citations

    2

    h-index

1–5 of 162

Venues

  1. User Modeling and User-Adapted Interaction

    1 publications · 15 citations

    2

    h-index

  2. Journal of Systems and Software

    JSS · 2 publications · 49 citations

    2

    h-index

  3. 2

    h-index

  4. Expert Systems with Applications

    1 publications · 63 citations

    1

    h-index

  5. ACM SIGCUE Outlook

    1 publications · 19 citations

    1

    h-index

1–5