Sökning: "Tangible User Interfaces for learning"
Hittade 4 uppsatser innehållade orden Tangible User Interfaces for learning.
1. Soft machine : A pattern language for interacting with machine learning algorithms
Master-uppsats, Umeå universitet/Designhögskolan vid Umeå universitetSammanfattning : The computational nature of soft computing e.g. machine learning and AI systems have been hidden by seamless interfaces for almost two decades now. It has led to the loss of control, inability to explore, and adapt to needs and privacy at an individual level to social-technical problems on a global scale. LÄS MER
2. Development of an Intelligent Embedded Interface for Interpreting Biosignals Recorded by Novel Wearable Devices
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In recent years there has been a considerable development in the realm of sensing technologies, embedded systems, wireless communication technologies, nanotechnologies, and miniaturization has made it possible to create smart wearable systems that can record data from the human bodies and monitor our daily activities. Most expectations for the successful deployment of wearable devices and their tangible impact for the society is in healthcare. LÄS MER
3. Experience Programming: an exploration of hybrid tangible-virtual block based programming interaction
Master-uppsats, Malmö universitet/Fakulteten för kultur och samhälle (KS)Sammanfattning : In less than a century, programming languages have assumed many forms in adapting to system’s needs and capacities, of which our cognitive systems are a part. One variation, tailored specifically for the cognitive processes in children’s education of computational concepts, and nowadays successful among novice adult learners too, is that of visual block based programming. LÄS MER
4. Designing interactions for data obfuscation in IoT
Magister-uppsats, Malmö högskola/Fakulteten för kultur och samhälle (KS)Sammanfattning : This project explores the internet of things (IoT) at home, especially the aspects related to the quantity and the quality of the of data collected by the smart devices and the violation of the users’ privacy this situation represents, since with the help of machine learning algorithms, these devices are capable of storing and analysing information related to the daily routine of each user at home. Therefore, this research enquires new ways to raise the user's’ awareness about the flow of the data within the IoT at home in order to empower them and give them back the status of administrators of this context by designing devices that are capable of obfuscating the data before it leaves the home. LÄS MER
