Cristin-resultat-ID: 2027112
Sist endret: 17. juni 2022, 01:00
NVI-rapporteringsår: 2022
Resultat
Vitenskapelig artikkel
2022

Representations of Machine Vision Technologies in Artworks, Games and Narratives: Documentation of a Dataset

Bidragsytere:
  • Jill Walker Rettberg
  • Linda Maria Jessica Kronman
  • Ragnhild Solberg
  • Marianne Gunderson
  • Stein Magne Bjørklund
  • Linn Heidi Stokkedal
  • mfl.

Tidsskrift

Data in Brief
ISSN 2352-3409
e-ISSN 2352-3409
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2022
Volum: 42
Open Access

Klassifisering

Vitenskapsdisipliner

Humaniora

Emneord

Digital kultur • Digital humaniora

Beskrivelse Beskrivelse

Tittel

Representations of Machine Vision Technologies in Artworks, Games and Narratives: Documentation of a Dataset

Sammendrag

This data paper documents a dataset that captures cultural attitudes towards machine vision technologies as they are expressed in art, games and narratives. The dataset includes records of 500 creative works (including 77 digital games, 190 digital artworks and 233 movies, novels and other narratives) that use or represent machine vision technologies like facial recognition, deepfakes, and augmented reality. The dataset is divided into three main tables, relating to the works, to specific situations in each work involving machine vision technologies, and to the characters that interact with the technologies. Data about each work include title, author, year and country of publication; types of machine vision technologies featured; topics the work addresses, and sentiments associated with that machine vision usage in the work. In the various works we identified 874 specific situations where machine vision is central. The dataset includes detailed data about each of these situations that describes the actions of human and non-human agents, including machine vision technologies. The dataset is the product of a digital humanities project and can be also viewed as a database at http://machine-vision.no. Data was collected by a team of topic experts who followed an analytical model developed to explore relationships between humans and technologies, inspired by posthumanist and feminist new materialist theories. The dataset as well as the more detailed database can be viewed, searched, extracted, or otherwise used or reused and is considered particularly useful for humanities and social science scholars interested in the relationship between technology and culture, and by designers, artists, and scientists developing machine vision technologies.

Bidragsytere

Aktiv cristin-person

Jill Walker Rettberg

  • Tilknyttet:
    Forfatter
    ved Lingvistiske, litterære, estetiske stud. ved Universitetet i Bergen

Linda Maria Jessica Kronman

  • Tilknyttet:
    Forfatter
    ved Lingvistiske, litterære, estetiske stud. ved Universitetet i Bergen

Ragnhild Strøm Solberg

Bidragsyterens navn vises på dette resultatet som Ragnhild Solberg
  • Tilknyttet:
    Forfatter
    ved Lingvistiske, litterære, estetiske stud. ved Universitetet i Bergen

Marianne Gunderson

  • Tilknyttet:
    Forfatter
    ved Lingvistiske, litterære, estetiske stud. ved Universitetet i Bergen
Aktiv cristin-person

Stein Magne Bjørklund

  • Tilknyttet:
    Forfatter
    ved Lingvistiske, litterære, estetiske stud. ved Universitetet i Bergen
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