Implicit User Feedback

Implicit User Feedback is a type of user input in adaptive interfaces that constitutes indirect behavioral evidence, such as navigation patterns or interaction timing, distinguished from explicit feedback by its unobtrusive and involuntary nature in indicating user preferences or needs.

128

Publications

8.5K

Citations

421

Authors

154

Institutions

Publications per year

2017–2026

55

Authors

421

  1. JM
    Joemon M. Jose

    University of Glasgow, United Kingdom

    6 publications · 317 citations

    6

    h-index

  2. IA
    Ioannis Arapakis

    University of Glasgow, United Kingdom

    4 publications · 240 citations

    4

    h-index

  3. XW
    Xuanhui Wang

    Google (United States), United States

    4 publications · 95 citations

    4

    h-index

  4. MB
    Michael Bendersky

    Google (United States), United States

    4 publications · 93 citations

    4

    h-index

  5. XX
    Xin Xin

    Shandong University, China

    3 publications · 93 citations

    3

    h-index

1–5 of 421

Venues

  1. ACM Transactions on Information Systems

    4 publications · 910 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 77 citations

    4

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 99 citations

    3

    h-index

  4. Applied Sciences

    2 publications · 104 citations

    2

    h-index

  5. Computers in Human Behavior

    2 publications · 172 citations

    2

    h-index

1–5