How did the mobility scooter cross the road? Coordinating with co-movers and other movers in traffic

McIlvenny, Paul

doi:10.1016/j.langcom.2018.04.002

Cited by 11 publications

(1 citation statement)

References 39 publications

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“…Even though we can recover some sense of space from a 2D perspectival image, and there is a kinetic depth effect -a perceptual cue about space that arises exclusively from the movement of a camera (Branigan, 2006: 9) -there has been very little reflection on either the dominance of the monoplane image or the flat quality of the pixelated digital image in qualitative research, and very few studies that draw upon and/or record stereoscopic video (and spatial audio) for analytical purposes (McIlvenny, 2019a(McIlvenny, , 2019b. To get a better understanding of how we can move beyond 2D video, Schröter (2014) proposes that there are four series of optical knowledge: geometrical optics, wave optics, physiological optics and virtual optics.…”

Section: Beyond 'Dumb' Flat Moving Image Pixels?mentioning

confidence: 99%

The future of ‘video’ in video-based qualitative research is not ‘dumb’ flat pixels! Exploring volumetric performance capture and immersive performative replay

McIlvenny

2020

Qualitative Research

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Qualitative research that focuses on social interaction and talk has been increasingly based, for good reason, on collections of audiovisual recordings in which 2D flat-screen video and mono/stereo audio are the dominant recording media. This article argues that the future of ‘video’ in video-based qualitative studies will move away from ‘dumb’ flat pixels in a 2D screen. Instead, volumetric performance capture and immersive performative replay rely on a procedural camera/spectator-independent representation of a dynamic real or virtual volumetric space over time. It affords analytical practices of re-enactment – shadowing or redoing modes of seeing/listening as an active spectation for ‘another next first time’ – which play on the tense relationships between live performance, observability, spectatorship and documentation. Three examples illustrate how naturally occurring social interaction and settings can be captured volumetrically and re-enacted immersively in virtual reality (VR) and what this means for data integrity, evidential adequacy and qualitative analysis.

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Section: Beyond 'Dumb' Flat Moving Image Pixels?mentioning

confidence: 99%