Trust Measurement

Trust Measurement is a scholarly construct within the field of human-robot interaction that operationalizes the assessment of an individual’s confidence in a robot’s reliability, integrity, and predictability through systematic, empirical methods such as scales, behavioral indicators, or physiological metrics.

371

Publications

33.5K

Citations

1.1K

Authors

415

Institutions

Publications per year

2017–2026

240

Authors

1.1K

  1. JK
    Johannes Kraus

    Universität Ulm, Germany

    9 publications · 614 citations

    9

    h-index

  2. PA
    Peter A. Hancock

    University of Central Florida, United States

    8 publications · 448 citations

    8

    h-index

  3. PW
    Philipp Wintersberger

    Technische Hochschule Ingolstadt, Germany

    8 publications · 315 citations

    8

    h-index

  4. EJ
    Ewart J. de Visser

    George Mason University, United States

    8 publications · 657 citations

    8

    h-index

  5. HA
    Holly A. Yanco

    University of Massachusetts Lowell, United States

    7 publications · 673 citations

    7

    h-index

1–5 of 1.1K

Venues

  1. 20

    h-index

  2. 16

    h-index

  3. International Journal of Social Robotics

    8 publications · 762 citations

    8

    h-index

  4. IEEE Access

    6 publications · 277 citations

    6

    h-index

  5. Applied Ergonomics

    6 publications · 231 citations

    6

    h-index

1–5