User Context Inference

User Context Inference is a computational process within context-aware augmented reality systems that identifies and interprets situational, behavioral, and environmental attributes of a user through sensor data and contextual cues to dynamically inform adaptive system responses.

116

Publications

13.7K

Citations

396

Authors

161

Institutions

Publications per year

2017–2026

30

Authors

396

  1. JY
    Jae Yeol Lee

    Chonnam National University, South Korea

    3 publications · 141 citations

    3

    h-index

  2. AJ
    Anupam Joshi

    University of Maryland, Baltimore County, United States

    3 publications · 167 citations

    3

    h-index

  3. MU
    Moshe Unger

    Ben-Gurion University of the Negev, Israel

    2 publications · 33 citations

    2

    h-index

  4. GR
    Guewon Rhee

    Chonnam National University, South Korea

    2 publications · 79 citations

    2

    h-index

  5. MG
    Michael G. Christel

    Carnegie Mellon University, United States

    2 publications · 69 citations

    2

    h-index

1–5 of 396

Venues

  1. Sensors

    8 publications · 645 citations

    8

    h-index

  2. IEEE Transactions on Mobile Computing

    TMCCI · 4 publications · 194 citations

    4

    h-index

  3. Mobile Networks and Applications

    MONET · 2 publications · 137 citations

    2

    h-index

  4. IEEE Transactions on Affective Computing

    TAC · 2 publications · 48 citations

    2

    h-index

  5. Virtual Reality

    2 publications · 84 citations

    2

    h-index

1–5