Predictability In Robot Behavior

Predictability in Robot Behavior is a construct in human-robot interaction that refers to the extent to which a human user can accurately anticipate a robot's immediate future actions based on its current state and observable behavior, distinguishing it from broader concepts of trust or transparency by focusing specifically on the foreseeability of short-term behavioral outcomes.

30

Publications

2.1K

Citations

92

Authors

42

Institutions

Publications per year

2017–2026

13

Authors

92

  1. SS
    Siddhartha S Srinivasa

    Carnegie Mellon University, United States

    6 publications · 1.1K citations

    6

    h-index

  2. AD
    Anca D. Dragan

    University of California, Berkeley, United States

    6 publications · 1.1K citations

    6

    h-index

  3. SK
    Subbarao Kambhampati

    Arizona State University, United States

    2 publications · 158 citations

    3

    h-index

  4. TZ
    Tom Ziemke

    University of Skövde, Sweden

    2 publications · 49 citations

    2

    h-index

  5. TC
    Tathagata Chakraborti

    Arizona State University, United States

    2 publications · 158 citations

    2

    h-index

1–5 of 92

Venues

  1. 1

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  2. iScience

    1 publications · 23 citations

    1

    h-index

  3. Journal of Robotics

    JR · 1 publications · 10 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 23 citations

    1

    h-index

  5. Health Education & Behavior

    HEB · 1 publications · 16 citations

    1

    h-index

1–5