Recent Submissions

  • Design of Child-robot Interactions for Comfort and Distraction from Post-operative Pain and Distress 

    Ferrari, Oriana Isabella; Zhang, Feiran; Braam, Ayrton A.; Van Gurp, Jules A.; Broz, Frank Broz; Barakova, Emilia I. (Chapter; Peer reviewed, 2023)
    There are numerous strategies for reducing the stress and anxiety associated with pain that children experience before and after surgery. There is a potential communication barrier between hospital staff and the child which ...
  • TSES-R: An Extended Scale for Measuring Parental Expectations toward Robots for Children in Healthcare 

    Zhang, Feiran; Broz, Frank; Ferrari, Oriana; Barakova, Emilia (Chapter; Peer reviewed, 2023)
    There is a growing interest in implementing robotics applications for children in healthcare to provide companionship, comfort, education, and therapy. Parental expectations regarding robotics for young children play a ...
  • Multiset permutation generation by transpositions 

    Rivertz, Hans (Journal article, 2023)
    This paper proposes a new algorithm for generating all permutations of multisets. The method uses transpositions only and adjacent transpositions are favoured. The algorithm requires a strong homogeneous transposition ...
  • Unmanned Aerial Vehicles for Air Pollution Monitoring: A Survey 

    Motlagh, Naser Hossein; Kortoci, Pranvera; Su, Xiang; Loven, Lauri; Hoel, Hans Kristian; Haugsvær, Sindre Bjerkestrand; Srivastava, Varun; Gulbrandsen, Casper Fabian; Nurmi, Petteri; Tarkoma, Sasu (Peer reviewed; Journal article, 2023)
    Unmanned aerial vehicles (UAVs) equipped with air quality sensors offer a powerful solution for increasing the spatial and temporal resolution of air quality data, searching and detecting emission sources, and monitoring ...
  • 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 ...
  • Facilitating Responsible Use of Artificial Intelligence in the Public Sector Through Guidelines for Human- AI Interaction 

    Arnarsson, Robert Thor; Ellingsen, Mats; Pham, Quynh-Anh Nguyen; Sterkenburg, Jarl Joar Van; Cappelen, Gard; Hochwarter, Stefan; Schmager, Stefan (Peer reviewed; Journal article, 2023)
    When developing Artificial Intelligence (AI) systems and implementing them in public services, guidelines for human-AI interaction can be instrumental in ensuring responsible use of these systems and AI intelligibility and ...
  • Multimodal Measurement of Parchment Using a Custom 3D Scanner 

    Papanikolaou, Athanasia; George, Sony; Sole, Aditya Suneel; Trumpy, Giorgio; Kujawinska, Malgorzata (Journal article; Peer reviewed, 2023)
    A multimodal optomechatronics system is presented for measuring and monitoring change in cultural heritage objects exposed to environmental condition fluctuations or conservation treatments. It combines structured light, ...
  • Explainable reinforcement learning (XRL): a systematic literature review and taxonomy 

    Bekkemoen, Yanzhe (Journal article; Peer reviewed, 2023)
    In recent years, reinforcement learning (RL) systems have shown impressive performance and remarkable achievements. Many achievements can be attributed to combining RL with deep learning. However, those systems lack ...
  • UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes 

    Toor, Aafan Ahmad; Lin, Jia-Chun; Gran, Ernst Gunnar; Lee, Ming-Chang (Chapter, 2024)
    In the context of time series data, a contextual anomaly is considered an event or action that causes a deviation in the data values from the norm. This deviation may appear normal if we do not consider the timestamp ...
  • Vessel-to-Vessel Motion Compensation with Reinforcement Learning 

    Herland, Sverre; Bach, Kerstin (Chapter, 2023)
    Actuation delay poses a challenge for robotic arms and cranes. This is especially the case in dynamic environments where the robot arm or the objects it is trying to manipulate are moved by exogenous forces. In this paper, ...
  • Digital Skills Playbook for Educators 

    Osadcha, Kateryna; Joyce, Alexa; Mueller, Catalina; Latronico, Rossana; Stella, Ivano; Cavalie, Pierre-Paul; Vos, Brenda; Videnovik, Maja; Barbosa, Cláudia; Matkovič, Matej; Fernández-Rodrigo, Laura; Duus, Rikke; Koeritz, Judith; Lake, Vivien; Chantal, Sistek; Pinzi, Viola (Research report, 2024)
    Welcome to the Digital Skills playbook for educators. In this playbook, we are digging into the challenge of improving the digital skills of students – no matter what age or stage of learning they might be at. Whether young ...
  • An Appearance Reproduction Framework for Printed 3D Surfaces 

    Habib, Tanzima; Green, Philip John; Nussbaum, Peter Stefan (Peer reviewed; Journal article, 2023)
    Bidirectional reflection distribution function (BRDF) is used to measure colour with gloss and surface geometry. In this paper, we aim to provide a practical way of reproducing the appearance of a 3D printed surface in ...
  • Image Demosaicing: subjective analysis and evaluation of image quality metrics 

    Ahmed, Tawsin Uddin; Amirshahi, Seyed Ali; Pedersen, Marius (Peer reviewed; Journal article, 2023)
    Most cameras use a single-sensor arrangement with Color Filter Array (CFA). Color interpolation techniques performed during image demosaicing are normally the reason behind visual artifacts generated in a captured image. ...
  • Building a metric of color reproduction difference by combining multiple observers in a modular online experiment 

    High, Gregory Paul; Nussbaum, Peter Stefan; Green, Philip John (Peer reviewed; Journal article, 2023)
    A web-hosted online experiment was previously developed to find the visual difference between four reproduction gamuts using direct magnitude estimation (Proc. IS&T 29th Color and Imaging Conf, 2021:317–322). In order to ...
  • Artificial Intelligence – Informed Decision Support for Search and Rescue 

    Nasar, Wajeeha (Doctoral theses at NTNU;2024:205, Doctoral thesis, 2024)
    Artificial Intelligence (AI) has revolutionized various industries in recent years by offering solutions to complex problems and enhancing decision-making processes. The integration of AI into decision support systems ...
  • Making Data Work: A Systematic Mapping of Collaborative Data Curation Practices 

    Amagyei, Nana Kwame; Parmiggiani, Elena; Farshchian, Babak A.; Engesmo, Jostein (Peer reviewed; Journal article, 2023)
    A growing body of literature in Information Systems focuses on the collaborative data curation practices that support the use of novel technologies in the ongoing datafication of work and organizing. In this study, we map ...
  • Evolving Artificial Spin Ice for Robust Computation 

    Penty, Arthur George; Tufte, Gunnar (Peer reviewed; Journal article, 2023)
    Artificial spin ice is a magnetic metamaterial showing particular promise as a novel substrate for unconventional computing. While simulations are invaluable for investigating new computational substrates, results must be ...
  • Sustainability integration in a higher education computer science department – a case study 

    Schmidt, Michaela Margarethe; Cristea, Rares; Parmiggiani, Elena; Hjelsvold, Rune (Peer reviewed; Journal article, 2023)
    Integrating sustainability into teaching practices in higher education is a challenge that is addressed both from the top down through institutional policies and from the bottom up through individual contributions. In this ...
  • Examining Spatial Attributes for Color Deficient Observers 

    Eschbach, Reiner; Nussbaum, Peter (Peer reviewed; Journal article, 2021)
    Color deficiency is a common affliction for males, with about 8% of the male population suffering from some form of – colloquial – color blindness. In common description, this is interpreted as the inability to perceive ...
  • La kvar student velje sitt eige tempo: Meistringslæring i intro programmering 

    Hansen, Gabrielle; Sindre, Guttorm; Korpås, Guri Sivertsen; Vassbakk, Joakim Pettersen (Journal article, 2024)
    Meistringslæring går ut på å dele eit emne opp i mange små modular, som kvar for seg skal vere overkomelege. Studenten må så vise meistring av den første modulen før hen går vidare til neste. Med eit slikt opplegg kan kvar ...

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