Now showing items 21-29 of 29

    • Quantifying quality: Towards a Post-Humanist Perspective on Sensemaking 

      Monteiro, Eric; Østerlie, Thomas; Parmiggiani, Elena; Mikalsen, Marius (Chapter, 2018)
      Processes of quantifying the qualitative have deep historical roots that demonstrate their contested nature. The ongoing push for Big Data/data science presupposes the quantification of qualitative phenomena. We analyse ...
    • Reality-based interaction affecting mental workload in virtual reality mental arithmetic training 

      Jost, Patrick; Cobb, Sue; Hämmerle, Isabella (Journal article; Peer reviewed, 2019)
      The concept of digital game-based learning (DGBL) evolves rapidly together with technological enhancements of virtual reality (VR) and smart phones. However, the mental workload (MWL) that VR-training applications demand ...
    • The Role of Shape in Modeling Gloss 

      Gigilashvili, Davit; Islam, Akib Jayed (Peer reviewed; Journal article, 2022)
      Gloss is an important appearance attribute, and its exact perceptual mechanisms are yet to be fully understood. Previous works attempted to model the relationship between optical and perceptual gloss. The state-of-the-art ...
    • Simple-Web-Server: a fast and flexible HTTP/1.1 C++ client and server library 

      Eidheim, Ole Christian (Journal article; Peer reviewed, 2019)
      The programming language C++ is commonly used for resource intensive tasks. Simple- Web-Server is a library that can be utilized in C++ applications to implement web-resources or perform HTTP or HTTPS requests in a simple ...
    • Systematic literature review on health effects of playing Pokémon Go 

      Wang, Alf Inge (Peer reviewed; Journal article, 2021)
      Pokémon Go is one of the most successful mobile games of all time and has motivated its users to become physically active, socialize, and spend more time outdoors. There have been published some systematic literature reviews ...
    • Texture-based clustering of archaeological textile images 

      Gigilashvili, Davit; Nguyen, H. T.; Gulbrandsen, C. F.; Havgar, Margrethe; Vedeler, Marianne; Hardeberg, Jon Yngve (Journal article, 2023)
      Archaeological textiles are often highly fragmented, and solving a puzzle is needed to recover the original composition and respective motifs. The lack of ground truth and unknown number of the original artworks that the ...
    • Toward Solving a Puzzle of Fragmented Archeological Textiles 

      Gigilashvili, Davit; Gulbrandsen, Casper Fabian; Nguyen, Ha Thu; Havgar, Margrethe; Vedeler, Marianne; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2024)
      Archeological textiles can provide invaluable insight into the past. However, they are often highly fragmented, and a puzzle has to be solved to re-assemble the object and recover the original motifs. Unlike common jigsaw ...
    • Using neural networks to support high-quality evidence mapping 

      Røst, Thomas Brox; Slaughter, Laura; Nytrø, Øystein; Muller, Ashley Elizabeth; Vist, Gunn Elisabeth (Peer reviewed; Journal article, 2021)
      Abstract Background: The Living Evidence Map Project at the Norwegian Institute of Public Health (NIPH) gives an updated overview of research results and publications. As part of NIPH’s mandate to inform evidence-based ...
    • What do citizens think of AI adoption in public services? Exploratory research on citizen attitudes through a social contract lens 

      Schmager, Stefan; Grøder, Charlotte Husom; Parmiggiani, Elena; Pappas, Ilias; Vassilakopoulou, Polyxeni (Chapter, 2023)
      The adoption of Artificial Intelligence (AI) by the public sector has the potential to improve service delivery. However, the risks related to AI are significant and citizen concerns have halted several AI initiatives. In ...