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Multi-angle video capture for human–material analysis

Research Method · All research methods
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Description

This capture pattern combines eye-level, bird's-eye-view, and close-up turntable videos so that material movements are analytically visible. The study collected approximately 13.5 hours each of eye-level and bird's-eye views plus 435 close-up videos, because data centered predominantly on human actions limits theorizing materially driven phenomena. Viewing angles simultaneously afforded verification of what had been seen from another angle through visual evidence.

Accounts

  • Multi-angle video capture disrupting human visual centrality to allow human-material analysis: This capture pattern combines eye-level, bird's-eye-view, and close-up turntable videos so that material movements are analytically visible. The study collected approximately 13.5 hours each of eye-level and bird's-eye views plus 435 close-up videos, because data centered predominantly on human actions limits theorizing materially driven phenomena. Viewing angles simultaneously afforded verification of what had been seen from another angle through visual evidence. (Anna Keune (2024))

Claims

Key Sources

  • Anna Keune. (2024). Learning within fiber-crafted algorithms: Posthumanist perspectives for capturing human-material collaboration. Intern. J. Comput.-Support. Collab. Learn. https://doi.org/10.1007/s11412-023-09412-1
Page metadata
Field Value
type research-method
id multi-angle-video-capture-for-humanmaterial-analysis
title Multi-angle video capture for human–material analysis
description This capture pattern combines eye-level, bird's-eye-view, and close-up turntable videos so that material movements are analytically visible.
status review
generated by process:settle-candidates on 2026-10-18
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