Rodyti trumpą aprašą

dc.contributor.authorKaklauskas, Artūras
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorPruskus, Valdas
dc.contributor.authorVlasenko, Andrej
dc.contributor.authorBartkienė, Lina
dc.contributor.authorPališkienė, Rasa
dc.contributor.authorPečiūrė, Lina
dc.contributor.authorGerstein, V.
dc.contributor.authorDzemyda, Gintautas
dc.contributor.authorTamulevičius, Gintautas
dc.date.accessioned2023-09-18T18:38:18Z
dc.date.available2023-09-18T18:38:18Z
dc.date.issued2011
dc.identifier.issn0957-4174
dc.identifier.other(BIS)VGT02-000022614
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/129900
dc.description.abstractThe experiences of undergoing economic crises attest that the loss of employment prompts an outbreak of mental illnesses and suicides, increases the numbers of heart attacks and strokes and negatively affects other illnesses suffered by individuals under stress. Negative stress can devastate a person, cause depression, lower productivity on the job and the competitiveness of businesses and damage the quality of life. The Recommended Biometric Stress Management System, which the aforementioned authors of this article have developed, can assist in determining the level of negative stress and resolve the problem for lessening it. The system can help to manage current stressful situation and to minimise future stress by making the level of future need satisfaction more rational. In the first case, the system facilitates individuals to make a real-time assessment of their stress level and, after they fill in a stress management questionnaire, to get rational tips for the reduction of current stress based on the best global practice accumulated in the system. The multi-variant design and multiple criteria analysis methods are used for that purpose. The generation of recommendations and the selection of the most rational are based on criteria systems and on Maslow’s Hierarchy of Needs. Since this is an interdisciplinary area of research, psychologists, philosophers and experts in information management and decision-making theories and intelligent and biometric technologies participated in the development of this system. Over the course of this system’s development, the biometric technologies of information, intelligence and voice were integrated. The case study submitted in this article demonstrates this developed system.eng
dc.formatPDF
dc.format.extentp. 14011-14025
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyCurrent Contents / Engineering, Computing & Technology
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScienceDirect
dc.source.urihttp://doi.org/10.1016/j.eswa.2011.04.209
dc.titleRecommended biometric stress management system
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references68
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionVilniaus universitetas
dc.contributor.facultyVilniaus Gedimino technikos universitetas / Vilniaus Gedimino technikos universitetas
dc.contributor.facultyHumanitarinis institutasui-button / Institute of Humanitiesui-button
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.researchfieldS 005 - Sociologija / Sociology
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.enNegative stress
dc.subject.enVoice stress analysis
dc.subject.enStress recognition
dc.subject.enMaslow’s hierarchy of needs
dc.subject.enRecommendations
dc.subject.enDecision support system
dc.subject.enHistorical information
dcterms.sourcetitleExpert systems with applications
dc.description.issueiss. 5
dc.description.volumeVol. 38
dc.publisher.nameElsevier
dc.publisher.cityOxford
dc.identifier.doiMRU02-000017170
dc.identifier.doiVUB02-000040683
dc.identifier.doi000294084700057
dc.identifier.doi10.1016/j.eswa.2011.04.209
dc.identifier.elaba3939635


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