Publication:
NeuroBioSense: A Multidimensional Dataset for Neuromarketing Analysis

dc.contributor.authorKOCAÇINAR, BÜŞRA
dc.contributor.authorİNAN, PELİN
dc.contributor.authorZAMUR, ELA NUR
dc.contributor.authorÇALŞİMŞEK, BUKET
dc.contributor.authorAKBULUT, FATMA PATLAR
dc.contributor.authorÇatal, Çağatay
dc.date.accessioned2024-05-14T11:49:55Z
dc.date.available2024-05-14T11:49:55Z
dc.date.issued2024
dc.description.abstractIn the context of neuromarketing, sales, and branding, the investigation of consumer decision-making processes presents complex and intriguing challenges. Consideration of the effects of multicultural influences and societal conditions from a global perspective enriches this multifaceted field. The application of neuroscience tools and techniques to international marketing and consumer behavior is an emerging interdisciplinary field that seeks to understand the cognitive processes, reactions, and selection mechanisms of consumers within the context of branding and sales. The NeuroBioSense dataset was prepared to analyze and classify consumer responses. This dataset includes physiological signals, facial images of the participants while watching the advertisements, and demographic information. The primary objective of the data collection process is to record and analyze the responses of human subjects to these signals during a carefully designed experiment consisting of three distinct phases, each of which features a different form of branding advertisement. Physiological signals were collected with the Empatica e4 wearable sensor device, considering non-invasive body photoplethysmography (PPG), electrodermal activity (EDA), and body temperature sensors. A total of 58 participants, aged between 18 and 70, were divided into three different groups, and data were collected. Advertisements prepared in the categories of cosmetics for 18 participants, food for 20 participants, and cars for 20 participants were watched. On the emotion evaluation scale, 7 different emotion classes are given: Joy, Surprise, anger, disgust, sadness, fear, and neutral. This dataset will help researchers analyse responses, understand and develop emotion classification studies, the relationship between consumers and advertising, and neuromarketing methods.en
dc.identifier53
dc.identifier.citationKocaçınar, B., İnan, P., Zamur, E. N., Çalşimşek, B., Akbulut, F. P., & Catal, C. (2024). NeuroBioSense: A Multidimensional Dataset for Neuromarketing Analysis. Data in Brief, 110235.
dc.identifier.issn2352-3409
dc.identifier.pubmed38533115
dc.identifier.scopus2-s2.0-85186716792
dc.identifier.urihttps://doi.org/10.1016/j.dib.2024.110235
dc.identifier.urihttps://hdl.handle.net/11413/9170
dc.identifier.wos001206000100001
dc.language.isoen
dc.publisherElsevier
dc.relation.journalData in Brief
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United Statesen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.subjectNeuromarketing
dc.subjectBiosignals
dc.subjectImage Processing
dc.titleNeuroBioSense: A Multidimensional Dataset for Neuromarketing Analysisen
dc.typeArticle
dspace.entity.typePublication
local.indexed.atwos
local.indexed.atpubmed
local.indexed.atscopus
local.journal.endpage9
local.journal.startpage1
relation.isAuthorOfPublicationb70fbd20-647f-4b93-8350-fed6fa238107
relation.isAuthorOfPublication16c815c6-a2cb-439b-b155-9ca020f8cc04
relation.isAuthorOfPublication.latestForDiscoveryb70fbd20-647f-4b93-8350-fed6fa238107

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