Socially Guided Learning

Socially Guided Learning is a human-robot interaction framework in which a robot acquires knowledge or skills through real-time social cues and interactive feedback provided by a human guide, distinguishing it from autonomous or non-interactive machine learning approaches by emphasizing bidirectional, socially contingent interaction as the primary mechanism for learning.

60

Publications

3.6K

Citations

153

Authors

77

Institutions

Publications per year

2017–2026

19

Authors

153

  1. CB
    Cynthia Breazeal

    Massachusetts Institute of Technology, United States

    7 publications · 535 citations

    7

    h-index

  2. AL
    Andrea L. Thomaz

    Georgia Institute of Technology, United States

    6 publications · 263 citations

    6

    h-index

  3. SB
    Stephen Billett

    Griffith University, Australia

    4 publications · 422 citations

    4

    h-index

  4. GN
    Goldie Nejat

    University of Toronto, Canada

    3 publications · 90 citations

    3

    h-index

  5. BS
    Brian Scassellati

    Yale University, United States

    3 publications · 78 citations

    3

    h-index

1–5 of 153

Venues

  1. International Journal of Social Robotics

    3 publications · 116 citations

    3

    h-index

  2. Connection Science

    2 publications · 86 citations

    2

    h-index

  3. Science Robotics

    2 publications · 152 citations

    2

    h-index

  4. Nature Human Behaviour

    2 publications · 143 citations

    2

    h-index

  5. CAAI Transactions on Intelligence Technology

    1 publications · 42 citations

    1

    h-index

1–5