Affective Segmentation

Affective Segmentation is a methodological framework within attitudinal segmentation that classifies individuals based on the intensity and valence of their emotional responses to stimuli, distinguishing it from cognitive or behavioral segmentation approaches by focusing exclusively on affective states as the primary basis for group differentiation.

12

Publications

390

Citations

29

Authors

16

Institutions

Publications per year

2017–2026

4

Authors

29

  1. PY
    Peter Y. K. Cheung

    Imperial College London, United Kingdom

    2 publications · 93 citations

    2

    h-index

  2. SA
    S.Kom. Agus Zainal Arifin

    Imperial College London, United Kingdom

    2 publications · 93 citations

    2

    h-index

  3. RB
    Ross Buck

    University of Connecticut, United States

    1 publications · 43 citations

    1

    h-index

  4. AM
    Adnan Mohsin Abdulazeez

    Duhok Polytechnic University, Iraq

    1 publications · 10 citations

    1

    h-index

  5. BE
    Barry E. Jacobs

    University of Maryland, College Park, United States

    1 publications · 66 citations

    1

    h-index

1–5 of 29

Venues

  1. Emotion Review

    1 publications · 11 citations

    1

    h-index

  2. Adelaide Research & Scholarship (AR&S) (University of Adelaide)

    Repository · 1 publications · 16 citations

    1

    h-index

  3. Journal of Food Quality

    1 publications · 66 citations

    1

    h-index

  4. IEEE Transactions on Multimedia

    1 publications · 53 citations

    1

    h-index

  5. International Journal of Speech Technology

    1 publications · 15 citations

    1

    h-index

1–5