VGTU talpykla > Statybos fakultetas / Faculty of Civil Engineering > Konferencijų straipsniai >

Lietuvių   English
Please use this identifier to cite or link to this item: http://dspace.vgtu.lt/handle/1/434

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

Files in This Item:

File Description SizeFormat
3_sec_012_Kaklauskas_et_al_Web-Based.pdf835.69 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback