User Insight Generation

User Insight Generation is a methodological contribution in opportunity identification that systematically uncovers latent user needs, behaviors, and preferences through empirical observation and interpretive analysis, distinguishing it from other contributions by its focus on deriving actionable insights directly from user-centric data.

48

Publications

2.3K

Citations

152

Authors

80

Institutions

Publications per year

2017–2026

23

Authors

152

  1. HW
    Hugh Wilson

    Cranfield University, United Kingdom

    2 publications · 58 citations

    2

    h-index

  2. SC
    Sandy Claes

    KU Leuven, Belgium

    2 publications · 90 citations

    2

    h-index

  3. AV
    Andrew Vande Moere

    KU Leuven, Belgium

    2 publications · 90 citations

    2

    h-index

  4. DN
    Duc-Dung Nguyen

    Vietnam Academy of Science and Technology, Vietnam

    1 publications · 16 citations

    1

    h-index

  5. PA
    Philip A. Fine

    University of Buckingham, United Kingdom

    1 publications · 20 citations

    1

    h-index

1–5 of 152

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 6 publications · 363 citations

    6

    h-index

  2. CHI Conference on Human Factors in Computing Systems

    Conference · 2 publications · 120 citations

    2

    h-index

  3. Frontiers in Psychology

    2 publications · 204 citations

    2

    h-index

  4. Research Repository (Delft University of Technology)

    Repository · 1 publications · 28 citations

    1

    h-index

  5. Computing in Science & Engineering

    1 publications · 24 citations

    1

    h-index

1–5