Personalized Robot Interaction

Personalized Robot Interaction is a human-robot interaction design framework that tailors robotic behaviors and responses to individual users through the adaptive integration of user-specific data, distinguishing it from generic interaction models by its focus on longitudinal, context-sensitive personalization.

25

Publications

668

Citations

92

Authors

35

Institutions

Publications per year

2017–2026

20

Authors

92

  1. BI
    Bahar Irfan

    University of Plymouth, United Kingdom

    3 publications · 75 citations

    3

    h-index

  2. SR
    Silvia Rossi

    University of Naples Federico II, Italy

    2 publications · 25 citations

    2

    h-index

  3. GS
    Gabriel Skantze

    KTH Royal Institute of Technology, Sweden

    2 publications · 62 citations

    2

    h-index

  4. RA
    Roxana Agrigoroaie

    École Nationale Supérieure de Techniques Avancées, France

    2 publications · 37 citations

    2

    h-index

  5. AT
    Adriana Tapus

    École Nationale Supérieure de Techniques Avancées, France

    2 publications · 37 citations

    2

    h-index

1–5 of 92

Venues

  1. 2

    h-index

  2. International Journal of Social Robotics

    2 publications · 54 citations

    2

    h-index

  3. Restorative Neurology and Neuroscience

    1 publications · 35 citations

    1

    h-index

  4. Human-Robot Interaction

    Conference · 1 publications · 14 citations

    1

    h-index

  5. IEEE Transactions on Cognitive and Developmental Systems

    TCDS · 1 publications · 60 citations

    1

    h-index

1–5