Designing Intelligible Visualizations To Accommodate Mid-Air Gesture Input

Abstract

This thesis describes how we developed a system that visually assists users during the process of executing stroke-based 3D mid-air gestures. Our visualization can be integrated into any C# application that runs on Windows Presentation Foundation and uses a Kinect camera to gather user input. We organized a user test with 15 participants to see how well our visualization could guide them through the gesture execution process. 94% of them successfully executed a full set of 18 unimanual and bimanual gestures.