Remote Assistance Interfaces

Remote Assistance Interfaces is a type of wearable augmented reality interface that enables real-time, bidirectional communication between a local user and a remote expert by overlaying contextual guidance, annotations, and audiovisual cues onto the user’s physical environment to support task performance, distinguished by its integration of situated interaction, spatial awareness, and collaborative problem-solving in hands-free, on-site scenarios.

97

Publications

3.3K

Citations

329

Authors

132

Institutions

Publications per year

2017–2026

41

Authors

329

  1. WH
    Weidong Huang

    University of Technology Sydney, Australia

    5 publications · 127 citations

    5

    h-index

  2. MB
    Mark Billinghurst

    University of Canterbury, New Zealand

    4 publications · 242 citations

    4

    h-index

  3. LA
    Leila Alem

    Commonwealth Scientific and Industrial Research Organisation, Australia

    4 publications · 114 citations

    4

    h-index

  4. JR
    Jun Rekimoto

    Sony Computer Science Laboratories, Japan

    3 publications · 150 citations

    3

    h-index

  5. JM
    John M. Carroll

    Pennsylvania State University, United States

    3 publications · 75 citations

    3

    h-index

1–5 of 329

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 231 citations

    2

    h-index

  2. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 2 publications · 48 citations

    2

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Actuators

    1 publications · 21 citations

    1

    h-index

1–5