Collaborative Adaptation

Collaborative Adaptation is a computational framework within adaptive interfaces that integrates input and feedback from multiple users to dynamically refine system behavior, distinguishing itself from individual-based adaptation by leveraging collective interaction patterns and shared contextual knowledge to enhance personalization and usability.

64

Publications

1.9K

Citations

200

Authors

100

Institutions

Publications per year

2017–2026

15

Authors

200

  1. ST
    Saïd Tazi

    Centre National de la Recherche Scientifique, France

    4 publications · 60 citations

    4

    h-index

  2. SD
    Schahram Dustdar

    TU Wien, Austria

    3 publications · 62 citations

    3

    h-index

  3. SD
    Stavros Demetriadis

    Aristotle University of Thessaloniki, Greece

    3 publications · 59 citations

    3

    h-index

  4. TV
    Thierry Villemur

    Laboratoire d'Analyse et d'Architecture des Systèmes, France

    3 publications · 43 citations

    3

    h-index

  5. DS
    Daniel Schall

    TU Wien, Austria

    3 publications · 62 citations

    3

    h-index

1–5 of 200

Venues

  1. Future Generation Computer Systems

    FGCS · 2 publications · 62 citations

    2

    h-index

  2. Regional Environmental Change

    2 publications · 48 citations

    2

    h-index

  3. OENO One

    2 publications · 24 citations

    2

    h-index

  4. PRESENCE Virtual and Augmented Reality

    1 publications · 53 citations

    1

    h-index

  5. Applied Soft Computing

    1 publications · 37 citations

    1

    h-index

1–5