Search results for "VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550"
showing 10 items of 469 documents
Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow
2020
An adaptive task difficulty assignment method which we reckon as balanced difficulty task finder (BDTF) is proposed in this paper. The aim is to recommend tasks to a learner using a trade-off between skills of the learner and difficulty of the tasks such that the learner experiences a state of flow during the learning. Flow is a mental state that psychologists refer to when someone is completely immersed in an activity. Flow state is a multidisciplinary field of research and has been studied not only in psychology, but also neuroscience, education, sport, and games. The idea behind this paper is to try to achieve a flow state in a similar way as Elo’s chess skill rating (Glickman in Am Ches…
An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals
2022
Emotion charting using multimodal signals has gained great demand for stroke-affected patients, for psychiatrists while examining patients, and for neuromarketing applications. Multimodal signals for emotion charting include electrocardiogram (ECG) signals, electroencephalogram (EEG) signals, and galvanic skin response (GSR) signals. EEG, ECG, and GSR are also known as physiological signals, which can be used for identification of human emotions. Due to the unbiased nature of physiological signals, this field has become a great motivation in recent research as physiological signals are generated autonomously from human central nervous system. Researchers have developed multiple methods for …
A Case Study of Technology Use and Information Flow at a Danish E-clinic
2019
Author´s accepted manuscript (postprint). © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. There is an urgent call from health organizations, health professionals and health authorities to re-design care delivery for patients with chronic conditions and multimorbidities. The research project 3P- Patients and Professionals in Productive Teams aims to study health…
The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions.
2019
Although the field of learning automata (LA) has made significant progress in the past four decades, the LA-based methods to tackle problems involving environments with a large number of actions is, in reality, relatively unresolved. The extension of the traditional LA to problems within this domain cannot be easily established when the number of actions is very large. This is because the dimensionality of the action probability vector is correspondingly large, and so, most components of the vector will soon have values that are smaller than the machine accuracy permits, implying that they will never be chosen . This paper presents a solution that extends the continuous pursuit paradigm to …
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
2021
Using logical clauses to represent patterns, Tsetlin Machine (TM) have recently obtained competitive performance in terms of accuracy, memory footprint, energy, and learning speed on several benchmarks. Each TM clause votes for or against a particular class, with classification resolved using a majority vote. While the evaluation of clauses is fast, being based on binary operators, the voting makes it necessary to synchronize the clause evaluation, impeding parallelization. In this paper, we propose a novel scheme for desynchronizing the evaluation of clauses, eliminating the voting bottleneck. In brief, every clause runs in its own thread for massive native parallelism. For each training e…
MIDI Polyphonic Expression: fra verktøy til kunstnerisk uttrykk : Et møte mellom min egen kunstneriske prosess og den nye MIDI-teknologien MIDI Polyp…
2021
Master's thesis in Popular music (MUR502)
Individuell time i musikkproduksjon
2021
Master's thesis in Popular music (MUR502)
User-centred Design of a Mobile Application for Chronic Pain Management
2020
Chronic pain patients constitute a large and heterogeneous patient group and it is important to build tools and methods that can identify efficient treatment options for each individual patient. It is estimated that 20-30% of the population has suffered from chronic pain and this imposes enormous costs on society and the national welfare programs. The research project Chronic Pain addresses the problem of how to provide patients and physicians with relevant, valid and adapted decision alternatives in a shared decision making tool. This paper presents the results from co-creation workshops early in the user-centred design process of the chronic pain mobile application. The end-users contribu…
Educational Games for eHealth : Using Games as a Tool to Teach Disease Precautions
2021
Master's thesis in Multimedia and educational technology (MM506) This master thesis investigated how an educational game could affect the ability to remember infectious disease precautions, guidelines, and hygiene rules over time in students and young adults in Norway. It also compared the ability to remember and implement these precautions taught in an educational game to the digital course “Training in Protective Measures” at the University of Agder. A high-fidelity digital prototype of an educational game was created for the purpose of this thesis project, with learning materials based on the teachings in the course. Qualitative research methods have been used for the evaluation of the p…
Hvilke faktorerer viktige for at helsepersonell vil akseptere og ønske å bruke digitale sykesignalanlegg? : En kvantitativ studie gjennomført i sykeh…
2020
Master's thesis in Health informatics (HSI500) Background: The requisite for health services in the primary health care will increase during the upcoming years. The population has an increasing share of elderlies, and amongst those many with dementia and other cognitive impairment. The Norwegian Directorate of Health recommends that municipalities, that are to upgrade their nurse call systems, choose digital systems that opens for the possibility of passive alert. Purpose: The purpose of our study has been to research which factors that are important for health personnel to accept digital nurse call systems, so that they both liked and had a wish to use them. Our research problem was “Which…