Populærkulturelle forestillinger av utvidet virkelighet: Makt og (u)leselige identiteter når verden blir en skjerm

Gunderson, Marianne

doi:10.18261/issn.1891-1781-2021-02-03-03

Cited by 3 publications

(3 citation statements)

References 30 publications

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“…The data collected on artworks formed the basis for Kronman’s (2023) analysis of different approaches to hacking machine vision in art, revealing how art is used to expose bias in machine vision, as well as papers on non-conscious cognition and agency ( Kronman, 2020 ), and aerial perspective and prediction in machine vision assemblages ( Kronman, 2019 ). Gunderson (2021) drew on the database to analyse the representation of augmented reality in popular culture. On the level of the dataset as a whole, the information about each character’s represented gender, race, age, species and sexuality in connection with the assigned verbs can also be used to study racial bias and other biases in how machine vision technologies are imagined across many creative works.…”

Section: Tracing Agencymentioning

confidence: 99%

“…While each of our papers grew out of the quantitative work that went into making the database, several have turned to qualitative, close readings of works and situations as their main analytical method ( Gunderson, 2021 ; Kronman, 2020 ; Kronman, 2023 ; Solberg, 2021 ; Solberg, 2022a ; Solberg, 2022b ). Based on this experience, this paper demonstrates how the concept of machine vision situation, and the formal data structure we developed for it, can serve as a tool to identify the compelling and relevant moments for analysis within a work, and function as a framework for not just quantitative, but also qualitative analysis of distributed agency.…”

Section: Tracing Agencymentioning

confidence: 99%

“…Playing games or watching a movie allows people to become familiar with technologies before they have direct access to them ( Solberg, 2022a ). Technologies are critiqued and challenged in art games and narratives, since art, in the broadest sense of the word, can express emotional responses to technological change as well as exploring what could go wrong or how technologies could be used differently ( Gunderson, 2021 ; Kronman, 2023 ).…”

Section: Introductionmentioning

confidence: 99%

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Machine vision situations: Tracing distributed agency

Gunderson,

Solberg,

Kronman

et al. 2024

Open Res Europe

Self Cite

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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” 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.

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Section: Tracing Agencymentioning

confidence: 99%

Section: Tracing Agencymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Machine vision situations: Tracing distributed agency

Gunderson,

Solberg,

Kronman

et al. 2024

Open Res Europe

Self Cite

View full text Add to dashboard Cite

show abstract

Machine vision situations: Tracing distributed agency

Gunderson,

Solberg,

Kronman

et al. 2023

Open Res Europe

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”, 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.

show abstract