TKD - Institutt for informasjonsteknologi
Recent Submissions
-
Twenty years of Collaborative Design, Visualization and Engineering: A Bibliometric Exploration
(Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2024)This paper explores how the Collaborative Design, Visualization and Engineering (CDVE) conference has evolved over twenty years. A bibliometric analysis was conducted based on 755 conference proceedings records extracted ... -
Using the IPv6 Flow Label for Path Consistency: A Large-Scale Measurement Study
(Chapter; Peer reviewed; Conference object; Journal article, 2024)RFC 6437 specifies the usage of an IPv6 3-tuple (flow label, source and destination address fields) for flow classification in routers. Is this the only flow classification approach in use with IPv6 when the flow label is ... -
Creativity Tool for Coursework Feedback: Towards a Framework for Timely, Consistent, and Balanced Written Feedback with Wide Syllabus Coverage in Large Classes
(Experiment@ International Conference (exp.at);, Chapter; Peer reviewed; Conference object; Journal article, 2024)Timely feedback is a key component in effective learning processes. However, with large classes run partially or fully online it can be challenging to provide timely, consistent, and balanced feedback to students. A ... -
Evolving Software Architecture Design in Telemedicine: A PRISMA-based Systematic Review
(Healthcare Informatics Research;, Peer reviewed; Journal article, 2024)Objectives: This article presents a systematic review of recent advancements in telemedicine architectures for continuous monitoring, providing a comprehensive overview of the evolving software engineering practices ... -
Incorporating Cognitive Training with Elderly People's Everyday Use of Smartphones.
(Chapter; Peer reviewed; Conference object; Journal article, 2024)The ageing population is growing rapidly, and the risk of cognitive decline among this populace is alarming. Dementia patients represent one of the most significant groups among individuals experiencing cognitive decline. ... -
How Order and Omission of Web Content Can Vary Unintentionally Across User Cohorts: A Review
(Chapter; Peer reviewed; Conference object; Journal article, 2024)Information has become more accessible than ever due to web technologies, standards, and assistive technologies. Still, here are unresolved issues that can hinder equal access to all. This study reports on work-in-progress ... -
On portfolio assessment, group work, and quasi-anonymization: What structural information do anonymized reports reveal?
(Chapter; Peer reviewed; Conference object; Journal article, 2024)With traditional summative exams students’ identities are often hidden from the examiners. However, achieving anonymity can be challenging with portfolio and coursework-based assessments. This study was motivated by a ... -
Students’ Perceptions of Study Efficacy, Effectiveness, and Efficiency: Effects of Voice assistant Use
(Chapter; Peer reviewed; Conference object; Journal article, 2024)The emergence of new technologies changes how students’ study and learn. This project investigated relationships between voice assistants and students’ study efficacy, effectiveness, and efficiency. A questionnaire was ... -
Exploring Time Visualization on Tiny Displays for Low Vision Users
(Chapter; Peer reviewed; Conference object, 2024)There have been few advancements in how time is visualized on modern devices despite the technical opportunities such devices offer. For low vision users small form-factor devices, such as smartwatches, pose few practical ... -
A smart handheld magnifier for reflowing printed text notices in public spaces
(Peer reviewed; Journal article, 2024)Individuals with reduced vision may rely on handheld magnifiers for near reading of texts on household items such as food packaging, and far reading of information notices and signposts. Smartphones have become favoured ... -
“Not quite there yet”: On Users Perception of Popular Healthcare Chatbot Apps for Personal Health Management
(Chapter; Peer reviewed; Conference object, 2024)Many individuals rely on digital resources for advice related to their health management such as passive information on web or more active resources such as chatbots. Chatbot technology has made rapid technical advances ... -
Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations
(Peer reviewed; Journal article, 2024)Deep learning has achieved immense success in computer vision and has the potential to help physicians analyze visual content for disease and other abnormalities. However, the current state of deep learning is very much a ... -
A Robust Framework for Distributional Shift Detection Under Sample-Bias
(Peer reviewed; Journal article, 2024)Deep Neural Networks have been shown to perform poorly or even fail altogether when deployed in real-world settings, despite exhibiting excellent performance on initial benchmarks. This typically occurs due to relative ... -
Machine Learning Models for Predicting Disability and Pain Following Lumbar Disc Herniation Surgery
(Peer reviewed; Journal article, 2024)Importance: Lumber disc herniation surgery can reduce pain and disability. However, a sizable minority of individuals experience minimal benefit, necessitating the development of accurate prediction models. Objective: ... -
A Markov-chain model for assessing heatwaves and droughts in Iberian Peninsula
(Chapter; Peer reviewed; Conference object; Journal article, 2024)The Iberian Peninsula subregion is known for the increasing frequency and intensity of heatwaves and drought conditions, but a comprehensive understanding of the statistical dependencies between these events is still ... -
Exploring Interpretable AI Methods for ECG Data Classification
(Chapter, 2024)We address ECG data classification, using methods from explainable artificial intelligence (XAI). In particular, we focus on the extended performance of the ST-CNN-5 model compared to established mod- els. The model ... -
Exploring Human Cognition From Eye-Movements: Is There Unconscious Visual Information?
(Chapter, 2024)In this study, we investigate whether fast-vanishing visual stimuli can carry information that affects human behavior, even when in- dividuals report not seeing it. The impact of fast-vanishing cues on oculomotor functions ... -
Federated Constrastive Learning and Visual Transformers for Personal Recommendation
(Peer reviewed; Journal article, 2024)This paper introduces a novel solution for personal recommendation in consumer electronic applications. It addresses, on the one hand, the data confidentiality during the training, by exploring federated learning and trusted ... -
Spatio-temporal visual learning for home-based monitoring
(Peer reviewed; Journal article, 2024)This paper introduces a novel concept for Home-based Monitoring (HM) that enables robust analysis and understanding of activities towards improved caring and safety. Spatio-Temporal Visual Learning for HM (STVL-HM) is a ... -
Deepfakes: current and future trends
(Peer reviewed; Journal article, 2024)Advances in Deep Learning (DL), Big Data and image processing have facilitated online disinformation spreading through Deepfakes. This entails severe threats including public opinion manipulation, geopolitical tensions, ...
RSS 2.0