Interaction Quality Assessment

Interaction Quality Assessment is a methodological construct in human-robot interaction evaluation that systematically characterizes the effectiveness, efficiency, and user-perceived satisfaction of interactions between humans and robots to determine the overall quality of the engagement.

228

Publications

14.8K

Citations

693

Authors

329

Institutions

Publications per year

2017–2026

103

Authors

693

  1. TS
    Takanori Shibata

    National Institute of Advanced Industrial Science and Technology, Japan

    8 publications · 339 citations

    8

    h-index

  2. KT
    K. Tanie

    National Institute of Advanced Industrial Science and Technology, Japan

    7 publications · 233 citations

    7

    h-index

  3. AW
    Astrid Weiss

    University of Salzburg, Austria

    6 publications · 370 citations

    6

    h-index

  4. KW
    K. Wada

    National Institute of Advanced Industrial Science and Technology, Japan

    6 publications · 179 citations

    6

    h-index

  5. SJ
    Stuart J. Barnes

    King's College London, United Kingdom

    5 publications · 787 citations

    5

    h-index

1–5 of 693

Venues

  1. International Journal of Social Robotics

    6 publications · 798 citations

    6

    h-index

  2. Frontiers in Psychology

    5 publications · 128 citations

    5

    h-index

  3. Frontiers in Robotics and AI

    4 publications · 123 citations

    4

    h-index

  4. Computers in Human Behavior

    4 publications · 1.4K citations

    4

    h-index

  5. European Early Childhood Education Research Journal

    EECERJ · 3 publications · 69 citations

    3

    h-index

1–5