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Persistent Identifier
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doi:10.18710/2G0XKN |
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Publication Date
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2022-03-22 |
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Title
| A Dataset Documenting Representations of Machine Vision Technologies in Artworks, Games and Narratives |
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Author
| Rettberg, Jill Walker (University of Bergen) - ORCID: 0000-0003-2472-3812
Kronman, Linda (University of Bergen) - ORCID: 0000-0001-7699-4505
Solberg, Ragnhild (University of Bergen) - ORCID: 0000-0002-5486-2453
Gunderson, Marianne (University of Bergen) - ORCID: 0000-0003-2794-4848
Bjørklund, Stein Magne (University of Bergen) - ORCID: 0000-0002-8387-260X
Stokkedal, Linn Heidi (University of Bergen)
de Seta, Gabriele (University of Bergen) - ORCID: 0000-0003-0497-2811
Jacob, Kurdin (University of Bergen)
Markham, Annette (Royal Melbourne Institute of Technology) - ORCID: 0000-0001-8152-2473 |
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Point of Contact
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Use email button above to contact.
Rettberg, Jill Walker (University of Bergen) |
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Description
| This dataset 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, 191 digital artworks and 236 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 includes 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 884 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 project team identified relevant works by searching databases, visiting exhibitions and conferences, reading scholarship, and consulting other experts. The inclusion criteria were creative works( art, games, narratives (movies, novels, etc)) where one of the following machine vision technologies was used in or represented by the work: 3D scans, AI, Augmented reality, Biometrics, Body scans, Camera, Cameraphone, Deepfake, Drones, Emotion recognition, Facial recognition, Filtering, Holograms, Image generation, Interactive panoramas Machine learning, MicroscopeOrTelescope Motion tracking, Non-Visible Spectrum Object recognition, Ocular implant, Satellite images, Surveillance cameras, UGV, Virtual reality, and Webcams.
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. (2022-03-17) |
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Subject
| Arts and Humanities |
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Keyword
| digital humanities (discipline) (DH Thesaurus) https://vocabularyserver.com/dhthesaurus/
digital humanities (Wikidata) https://www.wikidata.org/wiki/Q1026962
digital culture (DH Thesaurus) https://vocabularyserver.com/dhthesaurus
machine vision (Wikidata) https://www.wikidata.org/wiki/Q1425977
computer vision (CSO) https://vocabularyserver.com/cso
algorithmic bias (Wikidata) https://www.wikidata.org/wiki/Q45253460
science fiction (Wikidata) https://www.wikidata.org/wiki/Q24925
fiction (DH Thesaurus) https://vocabularyserver.com/dhthesaurus
video game (Wikidata) https://www.wikidata.org/wiki/Q7889
art (DH Thesaurus) https://vocabularyserver.com/dhthesaurus
novels (DH Thesaurus) https://vocabularyserver.com/dhthesaurus
film (Wikidata) https://www.wikidata.org/wiki/Q11424
motion pictures (visual works) (DH Thesaurus) https://vocabularyserver.com/dhthesaurus
electronic literature (Wikidata) https://www.wikidata.org/wiki/Q173167
television series (Wikidata) https://www.wikidata.org/wiki/Q5398426
digital art (visual works) (DH Thesaurus) https://vocabularyserver.com/dhthesaurus
new media art (DH Thesaurus) https://vocabularyserver.com/dhthesaurus
digital art (Wikidata) https://www.wikidata.org/wiki/Q860372
game studies (Digital Humanities Thesaurus) https://vocabularyserver.com/dhthesaurus |
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Related Publication
| Rettberg JW, Kronman L, Solberg R, et al. (2022) Representations of Machine Vision Technologies in Artworks, Games and Narratives: Documentation of a Dataset. Data in Brief. doi: 10.1016/j.dib.2022.108319 https://doi.org/10.1016/j.dib.2022.108319
Rettberg JW (2022) Algorithmic failure as a humanities methodology: machine learning’s mispredictions identify rich cases for qualitative analysis. Big Data & Society. doi: 10.1177/20539517221131290 https://doi.org/10.1177/20539517221131290 |
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Language
| English |
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Producer
| University of Bergen (UiB) https://www.uib.no/en |
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Contributor
| Project Leader : Rettberg, Jill Walker
Researcher : Solberg, Ragnhild
Researcher : Kronman, Linda
Researcher : Gunderson, Marianne
Researcher : de Seta, Gabriele
Data Manager : Bjørklund, Stein Magne
Data Collector : Lautenschlaeger, Graziele
Data Collector : Arce, Diana
Data Collector : Svihus, Edward
Data Collector : Waskiewicz, Milosz
Data Collector : Przulj, Tijana
Data Collector : Li, Hang On Martin
Data Collector : Klingenberg, Cecilie Thale
Data Collector : Shahpary, Milad
Data Collector : Hersvik, Amanda
Data Collector : Haugland, Ida Otilde
Data Collector : Sandvik, Sunniva Eirin
Data Collector : Retzius, Ainsley Belle
Data Collector : Karhio, Anne
Data Curator : Ostrop, Jenny |
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Funding Information
| European Research Council: 771800 |
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Distributor
| University of Bergen (University of Bergen) https://dataverse.no/dataverse/uib |
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Depositor
| Rettberg, Jill Walker |
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Deposit Date
| 2022-03-17 |
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Time Period
| Start Date: 1897-01-01 ; End Date: 2021-10-30 |
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Date of Collection
| Start Date: 2019-01-01 ; End Date: 2021-10-30 |
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Data Type
| Textual data; Tabular data; Descriptive data; Interpretative data; R scripts |
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Software
| Drupal, Version: 9
R, Version: 4.1.3
RStudio, Version: 2022.02.0 |
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Related Material
| Database of Machine Vision in Art, Games and Narratives: http://machine-vision.no
Wikidata: https://www.wikidata.org/wiki/Wikidata:Main_Page |
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Data Source
| The dataset consists of metadata about and structured analysis data about video games, artworks and narratives. A complete list of the primary data sources can be found in CreativeWorks.csv. Narratives include:
- Published novels and short stories
- Movies and TV series screened at cinemas or film festivals and available on public broadcasting or commercial streaming services
- Written narratives, such as fan fiction, creepypasta, short stories and electronic literature published in online journals, websites or public forums
- Electronic Literature published online or presented in public exhibitions
- Music videos with strong narrative elements
Games include:
- Video games available for purchase or download in stores or on platforms such as Steam
Artworks include:
- Artworks publicly displayed in exhibitions or online |
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Characteristic of Sources
| The dataset includes data describing 77 games, 192 artworks and 237 narratives (in total 500 Creative Works) where machine vision technologies play an important role. This includes Creative Works produced between 1891 and 2021, but with a heavy emphasis on recent works: 80% of the Works are from 2011-2021, and just over half from 2016-2021. The Creative Works are from 59 different countries, with 78,6% from North America and Europe, and 21,4% from other parts of the world. |
