Web-based biometric mouse decision support system for user’s emotional and labour productivity analysis

Abstract

In order to increase the efficiency of employees’ activities, a Web-based Biometric Mouse Decision Support System for User’s Emotional and Labour Productivity Analysis (MDSS-UELPA) was developed by the authors. MDSS-UELPA con-sists of seven subsystems: Data Capture and Collection Subsystem, Feature Extraction Subsystem, Database Management Subsystem, Model-base Management Subsystem, Equipment Subsystem, e-Self-Reports Subsystem and Graphical Interface. MDSS-UELPA is an online system and allows for more physiological, psychological and behavioural data to be generated from a larger pool of users for further analysis and research. Data is accumulated in individual user modules based on the user’s mouse movements, palm state and e-self-reports. The basic assumption was that MDSS-UELPA could successfully model user behaviours on the basis of the above-mentioned physiological, psychological and behavioural data. MDSS-UELPA is briefly analysed in this paper.