Linn Heidi StokkedalUniversity of Bergen | UiB · Centre for the Study of the Sciences and the Humanities
Linn Heidi Stokkedal
Photographer and Master Student
About
7
Publications
8,517
Reads
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13
Citations
Citations since 2017
Introduction
I am currently writing my masters due in May 2016, where I focus on prehistoric art in a neuroscientific light.
Additional affiliations
January 2015 - February 2015
September 2014 - present
Education
August 2011 - June 2014
Publications
Publications (7)
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 technologi...
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 technologi...
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,...
Cave Art in the Upper Paleolithic presents a boost of creativity and visual thinking. What can explain these savant-like paintings? The normal brain function in modern man rarely supports the creation of highly detailed paintings, particularly the convincing representation of animal movement, without extensive training and access to modern technolo...
Machine vision technologies are increasingly ubiquitous in society and have become part of everyday life. However, the rapid adoption has led to ethical concerns relating to privacy, agency, bias and accuracy. This paper presents the methodology and preliminary results from a digital humanities project that maps and categorises references to and us...
Machine vision technologies are increasingly ubiquitous in society and have become part of everyday life. However, the rapid adoption has led to ethical concerns relating to privacy, bias and accuracy. This paper presents the methodology and some preliminary results from a digital humanities project that is mapping and categorising references to an...
The aim with this master thesis is to prove that prehistoric art is worth the Westerners
attention, not the least the attention of art historians. I am interested in placing prehistoric
art/cave art in the spotlight, by reminding readers about the stunning craftsmanship and
timeless beauty these paintings convey. I will do this by participating in...
Projects
Project (1)
This five year, ERC-funded project (2018-2023), led by Professor Jill Walker Rettberg, explores how new algorithmic images are affecting us as a society and as individuals. The Machine Vision team will study theories and histories of visual technologies and current machine vision, analyse digital art, computer games and narrative fictions that use machine vision as theme or interface, and examine the experiences of users and developers of consumer-grade machine vision apps. Three main research questions are woven through all the approaches, addressing 1) new kinds of agency and subjectivity; 2) visual data as malleable; 3) values and biases.
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771800).
