Temporal Affective Modeling

Temporal Affective Modeling is a computational framework within affective computing that explicitly captures and represents the dynamic evolution of affective states over time, distinguishing itself from static models by incorporating temporal dependencies and sequential patterns in emotional responses.

35

Publications

1.9K

Citations

130

Authors

70

Institutions

Publications per year

2017–2026

21

Authors

130

  1. EA
    Erkin Asutay

    Linköping University, Sweden

    2 publications · 54 citations

    2

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  2. JJ
    Joanna J. Bryson

    University of Bath, United Kingdom

    2 publications · 40 citations

    2

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  3. JP
    J. Paul Hamilton

    Linköping University, Sweden

    2 publications · 54 citations

    2

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  4. DV
    Daniel Västfjäll

    Linköping University, Sweden

    2 publications · 54 citations

    2

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  5. AG
    Alexander Genevsky

    Stanford University, United States

    2 publications · 54 citations

    2

    h-index

1–5 of 130

Venues

  1. IEEE Transactions on Affective Computing

    TAC · 3 publications · 165 citations

    3

    h-index

  2. Emotion

    2 publications · 54 citations

    2

    h-index

  3. eLife

    1 publications · 27 citations

    1

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  4. Academy of Management Review

    AMR · 1 publications · 74 citations

    1

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  5. 1

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1–5