Web-based biometric mouse decision support system for user's emotional and labour productivity analysis
Artūras Kaklauskas, Edmundas Kazimieras Zavadskas, Mark Seniut, Mindaugas Krutinis, Gintautas Dzemyda, Sergėjus Ivanikovas, Voitech Stankevič, Česlovas Šimkevičius, A. Jarusevicius · 2008
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 consists 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. MDSSUELPA is briefly analysed in this paper.