Mapping Cultural Representations of Machine Vision

Rettberg, Jill Walker; Gunderson, Marianne; Kronman, Linda; Solberg, Ragnhild; Stokkedal, Linn Heidi

doi:10.1145/3342220.3343647

Cited by 5 publications

(1 citation statement)

References 16 publications

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“…For example, we tried a model in which we tagged characteristics and sentiments of the ’operators’ of machine vision technologies as well as the people ‘watched’ through machine vision. An early methodology paper from the project [7] describes this, but also notes how we were experimenting with a more open coding to avoid the binary assumption that a person always operates machine vision as a tool to watch another person. These experiments led to our current data structure.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Representations of machine vision technologies in artworks, games and narratives: A dataset

et al. 2022

Self Cite

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Representations of machine vision technologies in artworks, games and narratives: A dataset

et al. 2022

Self Cite

View full text Add to dashboard Cite

Machine vision situations: Tracing distributed agency

Gunderson,

Solberg,

Kronman

et al. 2023

Open Res Europe

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This article proposes a new method for tracing and examining agency in heterogeneous assemblages, focusing on the role of machine vision technologies in creative works. We introduce the concept of the “machine vision situation”, defined as the moment in which machine vision technologies come into play and make a difference to the course of events. By taking situations as the unit of analysis, we identify moments at which machine vision technologies take part in actions without reducing them to either tools or protagonists, instead allowing for more complex agential entanglements between human and non-human actors. Grounded on an interdisciplinary theoretical framework, this article demonstrates how an analytical unit such as the machine vision situation is a valuable method for tracing distributed agency. We illustrate this through three examples by applying the method to creative works – narratives, digital games, and artworks – revealing key aspects of distributed agency and calling attention to the excess, complications, and messy entanglements that might otherwise be overlooked in analyses of agential assemblages. The machine vision situation is shown to be a method-agnostic unit of analysis that can be productively incorporated in both quantitative and qualitative studies and applied to other contexts in which human and non-human actors interact.

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Machine vision situations: Tracing distributed agency

Gunderson,

Solberg,

Kronman

et al. 2024

Open Res Europe

Self Cite

View full text Add to dashboard Cite

This article proposes a new method for tracing and examining agency in heterogeneous assemblages, focusing on the role of machine vision technologies in creative works. We introduce the concept of the “machine vision situation” and define it as the moment in which machine vision technologies come into play and make a difference to the course of events. By taking situations as the unit of analysis, we identify moments at which machine vision technologies take part in actions without reducing them to either tools or protagonists, instead allowing for more complex agential entanglements between human and non-human actors. Grounded on an interdisciplinary theoretical framework, this article demonstrates how an analytical unit such as the machine vision situation is a valuable method for tracing how agency is distributed. We illustrate this through three examples by applying the method to creative works – narratives, digital games, and artworks – revealing key aspects of distributed agency and calling attention to the excess, complications, and messy entanglements that might otherwise be overlooked in analyses of agential assemblages. The machine vision situation is shown to be a flexible unit of analysis that can be productively incorporated in both quantitative and qualitative studies and applied to other contexts in which human and non-human agencies interact.

show abstract

Mapping Cultural Representations of Machine Vision

Cited by 5 publications

References 16 publications

Representations of machine vision technologies in artworks, games and narratives: A dataset

Representations of machine vision technologies in artworks, games and narratives: A dataset

Machine vision situations: Tracing distributed agency

Machine vision situations: Tracing distributed agency

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