Mobile Input Techniques
Mobile Input Techniques is a scholarly construct that encompasses methods and interaction paradigms designed for entering data or commands into mobile computing devices through modalities such as touch, gesture, speech, or sensor-based inputs, distinguished by their adaptation to the portable, context-aware, and human-centric nature of mobile human-computer interaction.
177
Publications
9.5K
Citations
461
Authors
169
Institutions
Publications per year
2017–2026
27
177
The Smart Phone: A Ubiquitous Input Device
Rafael Ballagas, Jan Borchers, Michael Rohs et al. · IEEE Pervasive Computing · 2006 · 398 citations
Predicting text entry speed on mobile phones
Miika Silfverberg, I. Scott MacKenzie, Panu Korhonen · 2000 · 305 citations · Full text
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461
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169

York University
Toronto, Canada
11 h-index
16 publications
1.2K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
24 publications
1.8K citations
Georgia Institute of Technology
Atlanta, United States
8 h-index
30 publications
1.8K citations

University of Glasgow
Glasgow, United Kingdom
6 h-index
14 publications
701 citations
University of Washington
Seattle, United States
6 h-index
13 publications
1.4K citations
University of Stuttgart
Stuttgart, Germany
5 h-index
21 publications
339 citations

University of Toronto
Toronto, Canada
5 h-index
11 publications
1.2K citations
Microsoft (United States)
Redmond, United States
4 h-index
10 publications
641 citations
1–8 of 169
4 publications · 105 citations
4
h-index
Repository · 3 publications · 96 citations
3
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3 publications · 495 citations
3
h-index
2 publications · 416 citations
2
h-index
2 publications · 124 citations
2
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1–5