Multi-modal Interaction Evaluation

Multi-Modal Interaction Evaluation is a systematic assessment framework within human-robot interaction research that evaluates the integration and performance of multiple communication modalities—such as speech, gesture, gaze, and haptics—in interactive robotic systems to determine their combined effectiveness, coherence, and naturalness in human-robot collaboration.

27

Publications

735

Citations

105

Authors

46

Institutions

Publications per year

2017–2026

9

Authors

105

  1. AI
    Alexander I. Rudnicky

    Carnegie Mellon University, United States

    2 publications · 39 citations

    2

    h-index

  2. JG
    J. Geoffrey Chase

    University of Canterbury, New Zealand

    2 publications · 64 citations

    2

    h-index

  3. SV
    Sabarish V. Babu

    Clemson University, United States

    2 publications · 25 citations

    2

    h-index

  4. TB
    Tiffany Barnes

    North Carolina State University, United States

    2 publications · 25 citations

    2

    h-index

  5. XC
    Xiaoqi Chen

    University of Canterbury, New Zealand

    2 publications · 64 citations

    2

    h-index

1–5 of 105

Venues

  1. Intelligent Service Robotics

    1 publications · 110 citations

    1

    h-index

  2. 1

    h-index

  3. International Journal of Virtual Reality

    IJVR · 1 publications · 12 citations

    1

    h-index

  4. The International Journal of Robotics Research

    IJRR · 1 publications · 56 citations

    1

    h-index

  5. Journal of the Robotics Society of Japan

    1 publications · 30 citations

    1

    h-index

1–5