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VGTU talpykla >
Statybos fakultetas / Faculty of Civil Engineering >
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http://dspace.vgtu.lt/handle/1/434
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Title: | Web-Based Biometric Mouse Decision Support System for User’s Emotional and Labour Productivity Analysis |
Authors: | Kaklauskas, Artūras Zavadskas, Edmundas Kazimieras Seniut, Mark Krutinis, Mindaugas Dzemyda, Gintautas Ivanikovas, Sergėjus Stankevič, Voitech Šimkevičius, Česlovas Jaruševičius, Aurimas |
Keywords: | web-based biometric mouse decision support system for user’s emotional and labour productivity analysis subsystems historical information |
Issue Date: | 2008 |
Publisher: | Vilniaus Gedimino technikos universitetas |
Citation: | Kaklauskas, A.; Zavadskas, E. K.; Seniut, M.; Krutinis, M.; Dzemyda, G.; Ivanikovas, S.; Stankevič, V.; Šimkevičius, Č.; Jaruševičius, A. 2008. Web-based biometric mouse decision support system for user’s emotional and labour productivity analysis, in The 25th International Symposium on Automation and Robotics in Construction ISARC–2008: Selected papers, Ed. by E. Zavadskas, A. Kaklauskas, M. J. Skibniewski, June 26–29, 2008, Vilnius, Lithuania. Vilnius: Technika, 69–75. doi:10.3846/isarc.20080626.69 |
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 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. MDSS-UELPA is briefly analysed in this paper. |
URI: | http://dspace1.vgtu.lt/handle/1/434 |
ISBN: | 978-9955-28-329-4 |
Appears in Collections: | Konferencijų straipsniai
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