Context-aware Augmentation

Context-Aware Augmentation is a method in augmented reality that dynamically integrates digital content into physical environments by adapting to real-time situational factors such as user location, orientation, behavior, and environmental conditions, thereby ensuring relevance and coherence with the immediate context.

57

Publications

3.1K

Citations

180

Authors

72

Institutions

Publications per year

2017–2026

28

Authors

180

  1. DS
    Dieter Schmalstieg

    Graz University of Technology, Austria

    3 publications · 216 citations

    3

    h-index

  2. WW
    Woontack Woo

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 31 citations

    3

    h-index

  3. JY
    Jae Yeol Lee

    Chonnam National University, South Korea

    3 publications · 121 citations

    3

    h-index

  4. CS
    Choonsung Shin

    Korea Testing Laboratory, South Korea

    2 publications · 31 citations

    2

    h-index

  5. JR
    Jun Rekimoto

    Sony Computer Science Laboratories, Japan

    2 publications · 55 citations

    2

    h-index

1–5 of 180

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 511 citations

    3

    h-index

  2. 2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 28 citations

    2

    h-index

  4. Applied Sciences

    2 publications · 73 citations

    2

    h-index

  5. Computers & Graphics

    1 publications · 89 citations

    1

    h-index

1–5