Adaptive User Interfaces
I am the lead designer and developer of this project. I work as a part of a team including a university professor, a PhD graduate. I am in charge of a couple of university students at the undergraduate and Masters level. This project is a web-browser software that analyzes a user’s mouse movements and detects pointing problems such as difficulty clicking on targets using artificial intelligence algorithms. For this project I have designed interfaces and interactions to notify users of pointing difficulties and evaluated these designs by conducting focus groups and one on one interviews with diverse groups of potential users, such as Parkinson’s disease patients. The designs were first evaluated as video prototypes and then later as part of a functional software, which I was in charge of developing in cooperation with university students. The work has resulted in multiple academic publications about design recommendations and user preferences when dealing with self-performance information.