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

Authors

461

  1. JO
    Jacob O. Wobbrock

    University of Washington, United States

    9 publications · 530 citations

    9

    h-index

  2. IS
    I. Scott MacKenzie

    York University, Canada

    9 publications · 1K citations

    9

    h-index

  3. NH
    Niels Henze

    University of Stuttgart, Germany

    6 publications · 104 citations

    6

    h-index

  4. SZ
    Shumin Zhai

    IBM Research - Almaden, United States

    4 publications · 535 citations

    4

    h-index

  5. JB
    Jan Borchers

    RWTH Aachen University, Germany

    4 publications · 510 citations

    4

    h-index

1–5 of 461

Venues

  1. 4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 96 citations

    3

    h-index

  3. Human-Computer Interaction

    3 publications · 495 citations

    3

    h-index

  4. IEEE Pervasive Computing

    2 publications · 416 citations

    2

    h-index

  5. Applied Ergonomics

    2 publications · 124 citations

    2

    h-index

1–5