Analysis of hand movements in 3D touch screen usability experiment
Mikheev, Dmitrii (2018)
Julkaisun pysyvä osoite on
This thesis focused on the three-dimensional (3D) experiment with the touch screen designed to examine the hand trajectories data and its consequent effects on the user experience (UX). The main aim of this thesis was to analyze the hand movement trajectory data and to implement methods of data preprocessing. This data was collected with shooting high-speed human-computer interaction (HCI) videos of the test subjects interacting with a 3D touch screen. Hand trajectories were recorded for each experimental session as a sequences of hand locations. Using the hand trajectory parameters, such as a target object location and its parallax the current thesis evaluated features that allowed the classification between parallax classes. The hand trajectories analysis pipeline was made. Hand trajectories were filtered with the locally weighted regression. To fulfill the thesis aim, 40 trajectory features were found out to provide the useful information about the participant behavior. The models to classify the hand trajectories were implemented with the maximum accuracy of 73\% for the classification of two classes and 33\% for the classification of four classes. It was concluded that the trajectories were complex data for the classification.