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
Parents
64
Leveraging single-user applications for multi-user collaboration
Steven Xia, David Sun, Chengzheng Sun et al. · 2004 · 129 citations
1–5 of 64
200
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Laboratoire d'Analyse et d'Architecture des Systèmes, France
3 publications · 43 citations
3
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3
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1–5 of 200
100

Centre National de la Recherche Scientifique
Paris, France
3 h-index
12 publications
196 citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
3 h-index
4 publications
69 citations

TU Wien
Vienna, Austria
3 h-index
11 publications
258 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
3 h-index
5 publications
273 citations

Laboratoire d'Analyse et d'Architecture des Systèmes
Toulouse, France
3 h-index
12 publications
196 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
5 publications
188 citations

Université Fédérale de Toulouse Midi-Pyrénées
Toulouse, France
3 h-index
10 publications
127 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
6 publications
349 citations
1–8 of 100
FGCS · 2 publications · 62 citations
2
h-index
2 publications · 48 citations
2
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2 publications · 24 citations
2
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1 publications · 53 citations
1
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1 publications · 37 citations
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