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ORCID

https://orcid.org/0000-0002-7218-1897

Access Type

Open Access Thesis

Document Type

thesis

Degree Program

Art

Degree Type

Master of Fine Arts (M.F.A.)

Year Degree Awarded

2019

Month Degree Awarded

September

Abstract

“MeatSpace” is a group of related bodies of work including podcasts, prints and videos produced by working with simulation technologies such as “weak A.I.”, virtual reality, and 3d scans. Collectively the works explore how people relate to these technologies and how they relate to us. They share thematic or process-oriented sensibilities involving a series of rule-based steps that alternate between the procedural and the intentional. “Uncanny” is defined as strangely familiar. Something which falls in the Uncanny Valley feels wrong, but the reasons may be difficult to articulate. “MeatSpace” is an ongoing experiment to see where our own digital reflections fall in an uncanny spectrum of unsettling familiarity. I am continuously assessing the meaning of words like “consciousness" and “choice”, wondering if they are simply interpretations of randomness and determinism. So I search for genuine glimmers of agency in technologies from the present and the past to better understand my own. The groupings within “MeatSpace” are titled “The Intrinsia Chatbox” (podcast), “Outside the Chatbox” (podcast), “Sweet Space/Spatial Awareness”(prints, video, augmented reality), “Formulaics”(music videos), and “Texture Maps/Morph Maps” (prints, video). “MeatSpace” uses manipulation of photogrammetry, volumetric video capture, procedural music generation, animations made in virtual reality, and a video podcast which showcases conversations with chatbots. I see these as acts of collaboration and play with the digital world and it’s developing tools and inhabitants. These processes employ both randomness and control, operating between meatspace and the digital world, between comfort and the uncanny valley.

DOI

https://doi.org/10.7275/14427281

First Advisor

Patricia Galvis Assmus

Second Advisor

Copper Giloth

Third Advisor

Coe Lapossy

Formulaics1-3.mp4 (347963 kB)

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