The Use of Context Aware Pervasive Systems in the Area of Human Factors and Ergonomics

Abstract

The major attempt of pervasive computing is to reduce the required user effort in using applications in their surrounding by identifying and recognizing resources, and reacting involuntarily based on the user concern. Pervasive systems are also focusing on improving efficiency, productivity and job satisfaction, with the goal of minimizing errors which are the core issue in human factors too. Spontaneous interaction of heterogeneous resources to achieve context awareness requires the identification of entities together with its description in a given environment is also the concern of Human Factors and Ergonomics as it deals with human – system interface technology in broad-spectrum. Fundamentally, context acquisition is one of the challenging and essential elements in pervasive computing; this concept is also elaborated from the aspect cognitive ergonomics standpoint. This work proposes algorithms used for context preference identification and discusses how context aggregation takes place by a range of context provider.