Abstract
Purpose This paper aims to examine how metadata taxonomies in embodied computing databases indicate context and describe ways to track the evolution of the embodied computing industry over time through digital media archiving. Design/methodology/approach The authors compare the metadata taxonomies of two embodied computing databases by providing a narrative of their top-level categories. After identifying these categories, they describe how they structure the databases around specific themes. Findings The growing wearables market often hides complex sociotechnical tradeoffs. Marketing products like Vandrico Inc.’s Wearables Database frame wearables as business solutions without conveying information about the various concessions users make. Potential solutions to this problem include enhancing embodied computing literacy through the construction of databases that track media about embodied computing technologies using customized metadata categories. Databases such as FABRIC contain multimedia related to the emerging embodied computing market – including patents, interviews, promotional videos and news articles – and can be archived through user-curated collections and tagged according to specific themes. One of the benefits of this approach is that users can use the rich metadata fields to search for terms and create curated collections that focus on tradeoffs related to embodied computing technologies. Originality/value This paper describes the importance of metadata for framing the orientation of embodied computing databases and describes one of the first attempts to comprehensively track the evolution of embodied computing technologies, their developers and their diverse applications in various social contexts through media archiving.
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DOI 10.1108/jices-03-2018-0022
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References found in this work BETA

The Extended Mind.Andy Clark & David J. Chalmers - 1998 - Analysis 58 (1):7-19.
Embodied Technology and the Dangers of Using the Phone While Driving.Robert Rosenberger - 2012 - Phenomenology and the Cognitive Sciences 11 (1):79-94.

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