NeuroBioSense: A multidimensional dataset for neuromarketing analysis

<p>In 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 fi...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Büşra Kocaçınar (16303291) (author)
مؤلفون آخرون: Pelin İnan (18192745) (author), Ela Nur Zamur (18192748) (author), Buket Çalşimşek (18192751) (author), Fatma Patlar Akbulut (17725968) (author), Cagatay Catal (6897842) (author)
منشور في: 2024
الموضوعات:
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author Büşra Kocaçınar (16303291)
author2 Pelin İnan (18192745)
Ela Nur Zamur (18192748)
Buket Çalşimşek (18192751)
Fatma Patlar Akbulut (17725968)
Cagatay Catal (6897842)
author2_role author
author
author
author
author
author_facet Büşra Kocaçınar (16303291)
Pelin İnan (18192745)
Ela Nur Zamur (18192748)
Buket Çalşimşek (18192751)
Fatma Patlar Akbulut (17725968)
Cagatay Catal (6897842)
author_role author
dc.creator.none.fl_str_mv Büşra Kocaçınar (16303291)
Pelin İnan (18192745)
Ela Nur Zamur (18192748)
Buket Çalşimşek (18192751)
Fatma Patlar Akbulut (17725968)
Cagatay Catal (6897842)
dc.date.none.fl_str_mv 2024-04-01T00:00:00Z
dc.identifier.none.fl_str_mv 10.1016/j.dib.2024.110235
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/NeuroBioSense_A_multidimensional_dataset_for_neuromarketing_analysis/25449436
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Commerce, management, tourism and services
Marketing
Information and computing sciences
Computer vision and multimedia computation
Neuromarketing
Biosignals
Image processing
dc.title.none.fl_str_mv NeuroBioSense: A multidimensional dataset for neuromarketing analysis
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p>In 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.</p><h2>Other Information</h2> <p> Published in: Data in Brief<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.dib.2024.110235" target="_blank">https://dx.doi.org/10.1016/j.dib.2024.110235</a></p>
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id Manara2_17c72c351678a41aaafc8bc3fbace968
identifier_str_mv 10.1016/j.dib.2024.110235
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/25449436
publishDate 2024
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spelling NeuroBioSense: A multidimensional dataset for neuromarketing analysisBüşra Kocaçınar (16303291)Pelin İnan (18192745)Ela Nur Zamur (18192748)Buket Çalşimşek (18192751)Fatma Patlar Akbulut (17725968)Cagatay Catal (6897842)Commerce, management, tourism and servicesMarketingInformation and computing sciencesComputer vision and multimedia computationNeuromarketingBiosignalsImage processing<p>In 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.</p><h2>Other Information</h2> <p> Published in: Data in Brief<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.dib.2024.110235" target="_blank">https://dx.doi.org/10.1016/j.dib.2024.110235</a></p>2024-04-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.dib.2024.110235https://figshare.com/articles/journal_contribution/NeuroBioSense_A_multidimensional_dataset_for_neuromarketing_analysis/25449436CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/254494362024-04-01T00:00:00Z
spellingShingle NeuroBioSense: A multidimensional dataset for neuromarketing analysis
Büşra Kocaçınar (16303291)
Commerce, management, tourism and services
Marketing
Information and computing sciences
Computer vision and multimedia computation
Neuromarketing
Biosignals
Image processing
status_str publishedVersion
title NeuroBioSense: A multidimensional dataset for neuromarketing analysis
title_full NeuroBioSense: A multidimensional dataset for neuromarketing analysis
title_fullStr NeuroBioSense: A multidimensional dataset for neuromarketing analysis
title_full_unstemmed NeuroBioSense: A multidimensional dataset for neuromarketing analysis
title_short NeuroBioSense: A multidimensional dataset for neuromarketing analysis
title_sort NeuroBioSense: A multidimensional dataset for neuromarketing analysis
topic Commerce, management, tourism and services
Marketing
Information and computing sciences
Computer vision and multimedia computation
Neuromarketing
Biosignals
Image processing