Affective Personalization

Affective Personalization is a design framework that incorporates users' emotional states and affective responses as the primary basis for adapting interactive systems, distinguishing it from other personalization approaches by focusing on emotion-driven customization rather than cognitive or behavioral preferences.

62

Publications

3.1K

Citations

212

Authors

106

Institutions

Publications per year

2017–2026

21

Authors

212

  1. JG
    Jesús G. Boticario

    Universidad Nacional de Educación a Distancia, Spain

    2 publications · 45 citations

    2

    h-index

  2. QH
    Qingming Huang

    University of Chinese Academy of Sciences, China

    2 publications · 144 citations

    2

    h-index

  3. SS
    Sergio Salmerón-Majadas

    Universidad Nacional de Educación a Distancia, Spain

    2 publications · 45 citations

    2

    h-index

  4. TP
    Thierry Pun

    University of Geneva, Switzerland

    2 publications · 108 citations

    2

    h-index

  5. MS
    Mohammad Soleymani

    University of Geneva, Switzerland

    2 publications · 108 citations

    2

    h-index

1–5 of 212

Venues

  1. Journal of Intelligent Manufacturing

    2 publications · 167 citations

    2

    h-index

  2. User Modeling and User-Adapted Interaction

    2 publications · 157 citations

    2

    h-index

  3. Cognitive Systems Research

    2 publications · 38 citations

    2

    h-index

  4. Journal of Business Research

    JBR · 1 publications · 57 citations

    1

    h-index

  5. Cognitive Computation

    1 publications · 105 citations

    1

    h-index

1–5