In user studies of human-computer interaction, experiments on new devices and techniques are often made on experiment software, which is developed separately for each device and technique. A systematic experimental platform, capable of running experiments on a number of technologies, would facilitate the design and implementation of such experiments. To do this, a configurable framework was created to allow relative pointing and absolute pointing input to be enhanced with adaptive pointing and smoothed pointing techniques. This thesis discusses both the internals of the framework as well as how a platform is developed based on the framework. Additionally, two calibration modules were designed to transform the relative pointing input to absolute pointing and obtain the necessary parameters which will be applied in smoothed pointing. As a part of the deployment, the experiment module was made to provide a platform which allowed the enhanced pointing experience to be evaluated and generated proper output according to the results of the experiment task.
One key achievement presented in this thesis is that the relative pointing devices are integrable with adaptive pointing and smoothed pointing which support for absolute pointing devices in general. Another key result presented in this thesis is that the configurable framework based experimental platform provides proper functions which meet the demands of professional pointing evaluation.
ACM Computing Classification System (CCS):
I.4.1 [Digitization and Image Capture]: Camera calibration,
I.4.3 [Enhancement]: Smoothing,
I.4.8 [Scene Analysis]: Tracking
