International Journal of Computer Theory and Engineering

Abstract

Virtual manufacturing environments need complex and accurate 3D human-computer interactions. Current virtual environments (VEs) suffer from one major issue which is the heavy loads of the users both on cognitive aspect and motor operational aspect. In order to solve this issue, the solution presented aims to increase both machine’s cognitive capability and the throughput of the system. This solution is mainly based on techniques and methods of a well-established field known as complex event processing (CEP). Our approach applies CEP to input events in multimodal systems, the events (State vector) which are produced in the system are received, filtered, aggregated or transformed into higher-level intents using a rule-based system. The experiments have shown that intent-driven software construction method and CEP (Complex Event Processing) have a great potential in both, enhancing the naturalness and efficiency of human-computer interactions (HCI) and increasing the throughput over low latency (increase the responsiveness of a system). It also can be considered as an effective analysis method for human-centered VE developments.