Multimodal Input Processing

Multimodal Input Processing is a cognitive and computational framework that integrates and interprets linguistic and non-linguistic input from multiple sensory modalities—such as visual, auditory, and textual sources—during real-time comprehension tasks, particularly in sight translation, by coordinating modality-specific representations into a unified mental representation to facilitate meaning construction.

210

Publications

16.4K

Citations

725

Authors

306

Institutions

Publications per year

2017–2026

84

Authors

725

  1. SO
    Sharon Oviatt

    Oregon Health & Science University, United States

    10 publications · 787 citations

    10

    h-index

  2. MB
    Mark Billinghurst

    University of Canterbury, New Zealand

    4 publications · 653 citations

    4

    h-index

  3. LT
    Louis ten Bosch

    Radboud University Nijmegen, Netherlands

    3 publications · 49 citations

    3

    h-index

  4. FF
    Fernando Ferri

    Institute for Research on Population and Social Policies, Italy

    3 publications · 45 citations

    3

    h-index

  5. SK
    Stefan Kopp

    Bielefeld University, Germany

    3 publications · 112 citations

    3

    h-index

1–5 of 725

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 510 citations

    10

    h-index

  2. PLoS ONE

    4 publications · 159 citations

    4

    h-index

  3. PubMed

    Repository · 4 publications · 72 citations

    4

    h-index

  4. Neuropsychologia

    3 publications · 129 citations

    3

    h-index

  5. Journal of Memory and Language

    3 publications · 91 citations

    3

    h-index

1–5