Rodyti trumpą aprašą

dc.contributor.authorKaklauskas, Artūras
dc.contributor.authorBučinskas, Vytautas
dc.contributor.authorVinogradova-Zinkevič, Irina
dc.contributor.authorBinkytė-Vėlienė, Arūnė
dc.contributor.authorUbartė, Ieva
dc.contributor.authorSkirmantas, Darius
dc.contributor.authorPetrik, Liudmila
dc.date.accessioned2023-09-18T20:14:09Z
dc.date.available2023-09-18T20:14:09Z
dc.date.issued2019
dc.identifier.issn1220-1766
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/147957
dc.description.abstractIn recent years, the focus of marketing methods has been the user rather than advertising. A wide range of customer satisfaction surveys, post-screening answers and reviews are a staple of marketing for that purpose. In search for innovative ways to survey customer satisfaction, new concepts have emerged recently and several biometric methods and systems have been developed. This research integrates Damasio’s Somatic marker hypothesis, statistical analysis, biometric systems, the neuro-questionnaire, multiple criteria analysis methods and intelligent systems. The objective of this research was to develop the .INVAR Neuromarketing method and system. The INVAR Neuromarketing method and system can determine: the effectiveness of a video ad and its individual frames; ad frames that make viewers most happy, sad, angry, surprised, scared, disgusted, bored, interested or confused; the effect of a video ad on the short-term and long-term memory; the most positive or negative video ad, etc. This article presents these studies and their results in greater detail.eng
dc.formatPDF
dc.format.extentp. 357-370
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttps://doi.org/10.24846/v28i3y201912
dc.source.urihttps://sic.ici.ro/wp-content/uploads/2019/10/Art.-12-Issue-3-SIC-2019.pdf
dc.titleINVAR Neuromarketing method and system
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references47
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.contributor.facultyMechanikos fakultetas / Faculty of Mechanics
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.contributor.departmentTvariosios statybos institutas / Institute of Sustainable Construction
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.vgtuprioritizedfieldsSD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enINVAR Neuromarketing method and system
dc.subject.enaffective attitudes
dc.subject.enemotional and physiological states
dc.subject.envideo ads
dc.subject.enmulticriteria analysis
dc.subject.enintelligent systems
dcterms.sourcetitleStudies in informatics and control
dc.description.issueiss. 3
dc.description.volumevol. 28
dc.publisher.nameNational Institute for Research & Development in Informatics
dc.publisher.cityBucharest
dc.identifier.doi000488609400012
dc.identifier.doi10.24846/v28i3y201912
dc.identifier.elaba41892943


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Rodyti trumpą aprašą