{
  "absUrl": "https://arxiv.org/abs/2610.00754v1",
  "arxivId": "2610.00754",
  "arxivVersion": 1,
  "arxivVersionedId": "2610.00754v1",
  "authors": [
    {
      "affiliations": [
        "Department of Computer Science, University of York, UK",
        "AudioLab, School of Physics, Engineering and Technology, University of York, UK"
      ],
      "name": "Luca Resti"
    },
    {
      "affiliations": [
        "Department of Language and Linguistic Science, University of York, UK"
      ],
      "name": "Amelia Gully"
    },
    {
      "affiliations": [
        "AudioLab, School of Physics, Engineering and Technology, University of York, UK"
      ],
      "name": "Michael McLoughlin"
    },
    {
      "affiliations": [
        "AudioLab, School of Physics, Engineering and Technology, University of York, UK"
      ],
      "name": "Gavin Kearney"
    },
    {
      "affiliations": [
        "Department of Computer Science, University of York, UK"
      ],
      "name": "Alena Denisova"
    }
  ],
  "contract": "researcher-sidecars-v1",
  "id": "2610.00754v1",
  "originalTitle": "MAV-C: A Framework for the Joint Objective Estimation of Audio-Visual Complexity in Immersive Virtual Environments",
  "pdfUrl": "https://arxiv.org/pdf/2610.00754v1.pdf",
  "schemaVersion": 1,
  "type": "preprint"
}
