Learning Interfaces
Learning Interfaces is an adaptive user interface system that autonomously improves its interaction strategies over time through the integration of machine learning techniques to model user behavior, preferences, and performance within a given task environment.
132
Publications
9.1K
Citations
419
Authors
175
Institutions
Publications per year
2017–2026
48
Parents
132
Power to the People: The Role of Humans in Interactive Machine Learning
Saleema Amershi, Maya Çakmak, W. Bradley Knox et al. · AI Magazine · 2014 · 1K citations · Full text
User learning and performance with marking menus
Gordon Kurtenbach, William Buxton · 1994 · 335 citations · Full text
Creating an Ambient-Intelligence Environment Using Embedded Agents
Hani Hagras, Vic Callaghan, Martin Colley et al. · IEEE Intelligent Systems · 2004 · 297 citations
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175
Carnegie Mellon University
Pittsburgh, United States
7 h-index
28 publications
1K citations
University of Washington
Seattle, United States
6 h-index
12 publications
3.3K citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
7 publications
169 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
4 h-index
8 publications
1.3K citations

University of Toronto
Toronto, Canada
4 h-index
10 publications
1.2K citations
Microsoft (United States)
Redmond, United States
4 h-index
10 publications
1.5K citations

Drexel University
Philadelphia, United States
3 h-index
5 publications
178 citations
Hong Kong Baptist University
Hong Kong, Hong Kong
3 h-index
5 publications
400 citations
1–8 of 175
Repository · 5 publications · 2.2K citations
5
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AAI · 3 publications · 147 citations
3
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3 publications · 94 citations
3
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2 publications · 55 citations
2
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2 publications · 410 citations
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