Sökning: "Användarutvärdering"
Visar resultat 1 - 5 av 12 uppsatser innehållade ordet Användarutvärdering.
1. Redesign and Improve an Energy Monitoring System with the Open Sandbox Experience through Simplification and Limitation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Energy monitoring systems (EMS) are crucial in improving energy eciency to encourage sustainable development. Such systems usually come with an open sandbox experience to provide multiple tools for monitoring, analytic, and reporting purposes, but this also creates user experience (UX) issues. LÄS MER
2. Selection Intent Prediction in Online Virtual Environments : A Comparison Study
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this work, we address the problem of the selection of 3D objects based on the user’s intent to interact with them in online virtual environments, both on desktop and VR devices. In addition to the traditional ray-casting technique, we select four promising techniques from the literature using time-dependent volumetric scoring (IntenSelect), trajectory prediction (KEP), Kalman filters enhancement (KalmanKEP) and machine learning with decision trees (MTP). LÄS MER
3. Information Visualization of Participant Behavior in Market Surveillance
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Financial markets are now undergoing exponential growth in data, as high-frequency trading is widespread. The need for effective market surveillance is, therefore, become more prominent. Domain experts in exchanges, trading participants, and regulators must provide evidence in their market surveillance investigation. LÄS MER
4. User-centered Evaluation of a Mobile AR Product in an Agile Environment
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Recent advances in mobile Augmented Reality (AR) create promising opportunities for novel, engaging, potentially scalable, interactive products. However, evaluating the usability and UX of mobile AR can be tricky given that the interface is highly adaptable, often ambiguous, and varies depending on context. LÄS MER
5. Information Visualization of Automated Deep Learning Platform Output
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Deep learning has been extensively used in many areas because of its proven benefit. However, developing deep learning is challenging. The master thesis aims to investigate suitable information visualization for the output of an automated deep learning model platform. The thesis has been carried with Bitynamics AB. LÄS MER
