Predictive Text Entry

Predictive Text Entry is a computational input method that distinguishes itself by dynamically suggesting likely text completions or next-word candidates based on contextual, linguistic, and user-specific input patterns to accelerate and enhance textual input efficiency in virtualized input environments.

73

Publications

3.8K

Citations

160

Authors

76

Institutions

Publications per year

2017–2026

17

Authors

160

  1. WS
    Wolfgang Stuerzlinger

    Simon Fraser University, Canada

    6 publications · 175 citations

    6

    h-index

  2. IS
    I. Scott MacKenzie

    York University, Canada

    6 publications · 1K citations

    6

    h-index

  3. SL
    S.P. Levine

    University of Michigan, United States

    3 publications · 208 citations

    3

    h-index

  4. HH
    Heidi Horstmann Koester

    Koester Performance Research (United States), United States

    3 publications · 208 citations

    3

    h-index

  5. DS
    Debasis Samanta

    Indian Institute of Technology Kharagpur, India

    3 publications · 43 citations

    3

    h-index

1–5 of 160

Venues

  1. Personal and Ubiquitous Computing

    2 publications · 134 citations

    2

    h-index

  2. Frontiers in Neuroscience

    2 publications · 257 citations

    2

    h-index

  3. Augmentative and Alternative Communication

    AAC · 2 publications · 174 citations

    2

    h-index

  4. 2

    h-index

  5. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 1 publications · 14 citations

    1

    h-index

1–5