Inhabiting Spatial Video and Audio Data: Towards a Scenographic Turn in the Analysis of Social Interaction

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Consumer versions of the passive 360° and stereoscopic omni-directional camera have recently come to market, generating new possibilities for qualitative video data collection. This paper discusses some of the methodological issues raised by collecting, manipulating and analysing complex video data recorded with 360° cameras and ambisonic microphones. It also reports on the development of a simple, yet powerful prototype to support focused engagement with such 360° recordings of a scene. The paper proposes that we ‘inhabit’ video through a tangible interface in virtual reality (VR) in order to explore complex spatial video and audio recordings of a single scene in which social interaction took place. The prototype is a software package called AVA360VR (‘Annotate, Visualise, Analyse 360° video in VR’). The paper is illustrated through a number of video clips, including a composite video of raw and semi-processed multi-cam recordings, a 360° video with spatial audio, a video comprising a sequence of static 360° screenshots of the AVA360VR interface, and a video comprising several screen capture clips of actual use of the tool. The paper discusses the prototype’s development and its analytical possibilities when inhabiting spatial video and audio footage as a complementary mode of re-presenting, engaging with, sharing and collaborating on interactional video data.
    Original languageEnglish
    JournalSocial Interaction. Video-Based Studies of Human Sociality
    Volume2
    Issue number1
    DOIs
    Publication statusPublished - 5 Nov 2018

    Keywords

    • Video Analysis
    • Big Video
    • Scenography
    • Digital Humanities
    • Virtual Reality
    • Immersive Environments

    Fingerprint

    Dive into the research topics of 'Inhabiting Spatial Video and Audio Data: Towards a Scenographic Turn in the Analysis of Social Interaction'. Together they form a unique fingerprint.

    Cite this