| dc.contributor.author | Kaklauskas, Artūras | |
| dc.contributor.author | Bučinskas, Vytautas | |
| dc.contributor.author | Vinogradova-Zinkevič, Irina | |
| dc.contributor.author | Binkytė-Vėlienė, Arūnė | |
| dc.contributor.author | Ubartė, Ieva | |
| dc.contributor.author | Skirmantas, Darius | |
| dc.contributor.author | Petrik, Liudmila | |
| dc.date.accessioned | 2023-09-18T20:14:09Z | |
| dc.date.available | 2023-09-18T20:14:09Z | |
| dc.date.issued | 2019 | |
| dc.identifier.issn | 1220-1766 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/147957 | |
| dc.description.abstract | In 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.format | PDF | |
| dc.format.extent | p. 357-370 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | DOAJ | |
| dc.relation.isreferencedby | INSPEC | |
| dc.relation.isreferencedby | Scopus | |
| dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
| dc.source.uri | https://doi.org/10.24846/v28i3y201912 | |
| dc.source.uri | https://sic.ici.ro/wp-content/uploads/2019/10/Art.-12-Issue-3-SIC-2019.pdf | |
| dc.title | INVAR Neuromarketing method and system | |
| dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
| dcterms.references | 47 | |
| dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
| dc.contributor.faculty | Mechanikos fakultetas / Faculty of Mechanics | |
| dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
| dc.contributor.department | Tvariosios statybos institutas / Institute of Sustainable Construction | |
| dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
| dc.subject.researchfield | S 003 - Vadyba / Management | |
| dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
| dc.subject.vgtuprioritizedfields | SD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures | |
| dc.subject.ltspecializations | L103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society | |
| dc.subject.en | INVAR Neuromarketing method and system | |
| dc.subject.en | affective attitudes | |
| dc.subject.en | emotional and physiological states | |
| dc.subject.en | video ads | |
| dc.subject.en | multicriteria analysis | |
| dc.subject.en | intelligent systems | |
| dcterms.sourcetitle | Studies in informatics and control | |
| dc.description.issue | iss. 3 | |
| dc.description.volume | vol. 28 | |
| dc.publisher.name | National Institute for Research & Development in Informatics | |
| dc.publisher.city | Bucharest | |
| dc.identifier.doi | 000488609400012 | |
| dc.identifier.doi | 10.24846/v28i3y201912 | |
| dc.identifier.elaba | 41892943 | |