Towards Dynamic Modeling in Immersive Environments with Assessment of User Experiences

Abstract

The present thesis is devoted to the study possibilities for modeling and simulation of immersive environments, to the study of user behavior aspects and the possible impact immersive environment have on the efficiency of human learning and other related factors. The framework consists of three stages to evaluate different types of human activities including multimodal interaction by simulating a number of different scenes. The first stage of the framework is devoted to the development of immersive environments based on real-world architecture. The first stage grants users to perform various meaningful interactions in the environment thereby serving as the foundation for later stages. The second stage is dedicated to the development of a system that enables real-time collection of users’ motion data. The data is produced by the user while performing particular tasks in the immersive environment. The third stage of the framework comprises preprocessing and analysis of the data with the goal of deriving users’ behavioral models and patterns. Recent findings suggest successful application of behavioral analysis in VR, so the presently developed framework can be effectively implemented to extend and enhance field-specific VR applications.