Affective User Experience

Affective User Experience is a theoretical construct within affective computing that characterizes the nature and dynamics of users' emotional responses during human-computer interaction, distinguished by its focus on the measurement, modeling, and design of system features that elicit or adapt to affective states.

511

Publications

29.1K

Citations

1.3K

Authors

514

Institutions

Publications per year

2017–2026

149

Variants

Affective Ux

Authors

1.3K

  1. RW
    Rosalind W. Picard

    Massachusetts Institute of Technology, United States

    13 publications · 2.1K citations

    12

    h-index

  2. KH
    Kristina Höök

    KTH Royal Institute of Technology, Sweden

    10 publications · 758 citations

    10

    h-index

  3. JK
    Jonathan Klein

    iRobot (United States), United States

    6 publications · 1.4K citations

    6

    h-index

  4. MG
    Martin G. Helander

    Nanyang Technological University, Singapore

    6 publications · 550 citations

    6

    h-index

  5. RL
    Regan L. Mandryk

    University of Saskatchewan, Canada

    5 publications · 414 citations

    5

    h-index

1–5 of 1.3K

Venues

  1. International Journal of Human-Computer Studies

    11 publications · 1.6K citations

    11

    h-index

  2. Interacting with Computers

    12 publications · 2.9K citations

    11

    h-index

  3. 9

    h-index

  4. MIS Quarterly

    7 publications · 2.1K citations

    7

    h-index

  5. IEEE Transactions on Affective Computing

    TAC · 6 publications · 605 citations

    6

    h-index

1–5