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Journal of Posthuman Studies
Article . 2020 . Peer-reviewed
Data sources: Crossref
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Fully Optimized: The (Post)human Art of Speedrunning

Authors: Hay, Jonathan;

Fully Optimized: The (Post)human Art of Speedrunning

Abstract

ABSTRACT Over time, speedrunning communities work collaboratively to optimize, reconfigure, and improve upon the quickest possible completion times of video game titles. I argue that this progressive ethos, coupled with the performative nature of modern speedrunning, lends a distinctly artistic character to the practice. Speedrunning is a form of (post)human expression that is manifested not only through the programming of a video game, but also through players’ approach to gameplay. By choosing to speedrun, players actively impose a discrete temporal limit on the inhuman algorithms of video games, and so attempt to conquer and thereby curtail their technological novelty. However, within the field of game studies, the literature published on speedrunning to date is almost unilaterally anthropocentric, and focuses on the transgressive nature of the practice, ignoring the intricacies of its technological fundament. Rather, (post)humans and technologies interact in a transformational manner through intra-active assemblages, broadening the condition of embodiment. To theorize a posthumanistic theory of the practice, this article takes as its focus the speedrunning community of the video game Super Mario Odyssey and suggests that speedrunning may ultimately be considered a mode of (post)human performance art.

Country
United Kingdom
Related Organizations
Keywords

Posthumanism, Video Games, Speedrunning, 004

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Top 10%
Average
Green