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What Is behind In-Stream Advertising on YouTube? A Remote Neuromarketing Study employing Eye-Tracking and Facial Coding techniques

Not all elements displayed in a YouTube in-stream video ad are attributable to the ad itself. Some of those are automatically introduced by the platform, such as the countdown timer and the time progress bar. In recent years, some authors started exploring the effects associated with the presence of...

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Autores principales: Mancini, Marco, Cherubino, Patrizia, Martinez, Ana, Vozzi, Alessia, Menicocci, Stefano, Ferrara, Silvia, Giorgi, Andrea, Aricò, Pietro, Trettel, Arianna, Babiloni, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605368/
https://www.ncbi.nlm.nih.gov/pubmed/37891849
http://dx.doi.org/10.3390/brainsci13101481
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author Mancini, Marco
Cherubino, Patrizia
Martinez, Ana
Vozzi, Alessia
Menicocci, Stefano
Ferrara, Silvia
Giorgi, Andrea
Aricò, Pietro
Trettel, Arianna
Babiloni, Fabio
author_facet Mancini, Marco
Cherubino, Patrizia
Martinez, Ana
Vozzi, Alessia
Menicocci, Stefano
Ferrara, Silvia
Giorgi, Andrea
Aricò, Pietro
Trettel, Arianna
Babiloni, Fabio
author_sort Mancini, Marco
collection PubMed
description Not all elements displayed in a YouTube in-stream video ad are attributable to the ad itself. Some of those are automatically introduced by the platform, such as the countdown timer and the time progress bar. In recent years, some authors started exploring the effects associated with the presence of such non-ad items, providing valuable findings. However, objective evaluation of viewers’ visual attention is lacking in this context as well as emotional investigation. In addition, previous research showed how the manipulation of seemingly negligible details can yield dramatically different outcomes in the context of in-stream advertising. To extend knowledge, the authors explored the effects of the non-ad items’ presence by employing eye-tracking and facial coding techniques in combination with self-reports in a between-subjects experimental design focusing on the YouTube 15-s, mid-roll, non-skippable in-stream ad format. Results showed that the ad format currently employed by YouTube performs worse than its equivalent without the non-ad items on all the investigated measures and than its equivalent in which the non-ad items’ presence was experimentally reduced on facial coding disgust, self-reported disgust, ad irritation, and ad attitude. Managerial insights and challenges concerning the future of in-stream advertising and neuromarketing are highlighted.
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spelling pubmed-106053682023-10-28 What Is behind In-Stream Advertising on YouTube? A Remote Neuromarketing Study employing Eye-Tracking and Facial Coding techniques Mancini, Marco Cherubino, Patrizia Martinez, Ana Vozzi, Alessia Menicocci, Stefano Ferrara, Silvia Giorgi, Andrea Aricò, Pietro Trettel, Arianna Babiloni, Fabio Brain Sci Article Not all elements displayed in a YouTube in-stream video ad are attributable to the ad itself. Some of those are automatically introduced by the platform, such as the countdown timer and the time progress bar. In recent years, some authors started exploring the effects associated with the presence of such non-ad items, providing valuable findings. However, objective evaluation of viewers’ visual attention is lacking in this context as well as emotional investigation. In addition, previous research showed how the manipulation of seemingly negligible details can yield dramatically different outcomes in the context of in-stream advertising. To extend knowledge, the authors explored the effects of the non-ad items’ presence by employing eye-tracking and facial coding techniques in combination with self-reports in a between-subjects experimental design focusing on the YouTube 15-s, mid-roll, non-skippable in-stream ad format. Results showed that the ad format currently employed by YouTube performs worse than its equivalent without the non-ad items on all the investigated measures and than its equivalent in which the non-ad items’ presence was experimentally reduced on facial coding disgust, self-reported disgust, ad irritation, and ad attitude. Managerial insights and challenges concerning the future of in-stream advertising and neuromarketing are highlighted. MDPI 2023-10-19 /pmc/articles/PMC10605368/ /pubmed/37891849 http://dx.doi.org/10.3390/brainsci13101481 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mancini, Marco
Cherubino, Patrizia
Martinez, Ana
Vozzi, Alessia
Menicocci, Stefano
Ferrara, Silvia
Giorgi, Andrea
Aricò, Pietro
Trettel, Arianna
Babiloni, Fabio
What Is behind In-Stream Advertising on YouTube? A Remote Neuromarketing Study employing Eye-Tracking and Facial Coding techniques
title What Is behind In-Stream Advertising on YouTube? A Remote Neuromarketing Study employing Eye-Tracking and Facial Coding techniques
title_full What Is behind In-Stream Advertising on YouTube? A Remote Neuromarketing Study employing Eye-Tracking and Facial Coding techniques
title_fullStr What Is behind In-Stream Advertising on YouTube? A Remote Neuromarketing Study employing Eye-Tracking and Facial Coding techniques
title_full_unstemmed What Is behind In-Stream Advertising on YouTube? A Remote Neuromarketing Study employing Eye-Tracking and Facial Coding techniques
title_short What Is behind In-Stream Advertising on YouTube? A Remote Neuromarketing Study employing Eye-Tracking and Facial Coding techniques
title_sort what is behind in-stream advertising on youtube? a remote neuromarketing study employing eye-tracking and facial coding techniques
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605368/
https://www.ncbi.nlm.nih.gov/pubmed/37891849
http://dx.doi.org/10.3390/brainsci13101481
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