Invited Keynote: Staging and Inhabiting Spatial Video and Audio Data: Towards a Scenographic Turn in the Analysis of Complex Sites of Social Interaction and Discourse

Description

When we collect and analyse video recordings of social interaction, we are often squeezed into a 2D planar representation of the social and material world. Recently, consumer versions of the passive 360° and stereoscopic omni-directional camera with spatial audio have come to market, but there is a paucity of tools to help us natively view, edit and analyse the resulting video and audio footage while adhering to a methodological perspective that focuses on the qualitative analysis of social interaction and discourse. In contrast, my presentation reports on the development of two iterative software prototypes that support tangible and immersive engagement with current (and future) spatial video and audio recordings. SQUIVE (“Staging Qualitative Immersive Virtualisation Engine”) facilitates interactive and immersive 3D reconstructions of the site and the scenes in which social and cultural practices took place over time. Through a tangible interface in virtual reality, CAVA360VR (“Collaborate, Annotate, Visualise, Analyse 360° video in VR”) enables the exploration of complex spatial video and audio recordings of a single scene in which social interaction occurred. It is argued that the resulting toolkit – and the analytical possibilities afforded by taking a ‘scenographic turn’ to Big Video – expands the range of abductive-inductive analytical potentials that lie between data collection and close analysis. It leads to a complementary mode of collecting, engaging, sharing, collaborating and archiving mixed video data. Furthermore, it provides a resource for live performance of enhanced visual argumentation for qualitative analysis.

Period	25 Apr 2019
Event title	Interaction and Discourse in Flux: Changing Landscapes of Everyday Life: COACT conference
Event type	Conference
Location	Oulu, FinlandShow on map
Degree of Recognition	International