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dc.contributor.authorKaklauskas, Artūras
dc.contributor.authorHerrera-Viedma, Enrique
dc.contributor.authorUbartė, Ieva
dc.contributor.authorTupėnaitė, Laura
dc.contributor.authorRaupys, Dainius
dc.contributor.authorStrikaitė, Agnė
dc.contributor.authorSeniut, Mark
dc.date.accessioned2023-09-18T18:43:46Z
dc.date.available2023-09-18T18:43:46Z
dc.date.issued2018
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/131053
dc.description.abstractThe objective of this research was the development of the Video Neuroadvertising (hereafter, VINERS) Method for Housing by integrating the multimodal biometric, neuromarketing, affective computing and multiple criteria analysis methods. The goal for the Biometric Method part was to measure and record human biometric, emotional signals (from the face, eyes, heart rate, respiration rate, etc.). The neuromarketing method is also integrated into the study with an aim to examine the affective and cognitive reactions of buyers to marketing incentives and to forecast customer actions by applying biometric technologies. The aim of the affective computing method part was to understand the emotional state of buyers and to tailor its action to the neuromarketing process by providing the most rational reaction to those emotions. The research also incorporated the multiple criteria planning of variants and the multiple criteria analysis methods into one entity. The application of these makes it possible to generate numerous alternative neuromarketing variants in an automatic fashion and to select the most effective ones. The VINERS Method for Housing can additionally assist in determining the Net emotional investment value of a project under deliberation and provide digital recommendations for improving projects. The VINERS Method for Housing was developed during the course of the research. A case study appears at the end of this article in an endeavor to demonstrate the opportunities provided by this method in practice.eng
dc.formatPDF
dc.format.extentp. 839-857
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.ispartofseriesFrontiers in artificial intelligence and applications 0922-6389 1879-8314
dc.relation.isreferencedbyConference Proceedings Citation Index - Science (Web of Science)
dc.relation.isreferencedbyScopus
dc.source.urihttp://ebooks.iospress.nl/volumearticle/49991
dc.titleVideo neuro-advertising method for housing
dc.typeStraipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB
dcterms.references52
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionUniversity of Granada
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
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.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.enaffective computing
dc.subject.enbiometrics
dc.subject.enhousing
dc.subject.enmultiple criteria decision making
dc.subject.ennet emotional investment value
dc.subject.envideo neuroadvertising
dcterms.sourcetitleNew trends in intelligent software methodologies, tools and techniques. Proceedings of the 17th international conference, SoMeT 2018, Granada, Spain, 26-28 September 2018 / editors: Hamido Fujita, Enrique Herrera-Viedma
dc.description.volumevol. 303
dc.publisher.nameIOS Press
dc.publisher.cityAmsterdam
dc.identifier.doi2-s2.0-85063410558
dc.identifier.doi85063410558
dc.identifier.doi000467457200066
dc.identifier.doi10.3233/978-1-61499-900-3-839
dc.identifier.elaba35984966


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