IDEAS home Printed from https://ideas.repec.org/a/isp/journl/v14y2020i1p1-9.html
   My bibliography  Save this article

Video Neuroadvertising Recommender System

Author

Listed:
  • Arturas Kaklauskas
  • Ieva Ubarte
  • Matas Kozlovas
  • Justas Cerkauskas
  • Dainius Raupys
  • Irene Lill
  • Raido Puust

Abstract

Neuromarketing systems are gaining increasing popularity during the last years. The Video Neuroadvertising Recommender System (ViNeRS) addresses the following problem: improving the efficiency of video ads by integrating biometric, physiological, affective computing, statistical analysis (LOGIT, KNN, MBP, RBP), decision support, recommender, big data and text analytics, categorical, spatial and personalised affective content analysis and self-analysis methods, as well as five multiple criteria analysis methods developed by the applicants (hereinafter referred to as research methods). ViNeRS will include two main subsystems. ViNeRS1, an analysis and assessment subsystem for the impact of online ads (unfinished ad content), will assess the efficiency of ads at each stage of their creation, determine their advantages and disadvantages, and improve them until the most catchy version is achieved. The subsystem will be able to determine how many times a promotional message should be repeated in a certain part of your video to achieve an effective promotional campaign. ViNeRS2, an intuitive online ad serving subsystem (finished ad content), will offer integrated measurements of neurobiological viewer response and real-time selection of the most efficient ad version.

Suggested Citation

  • Arturas Kaklauskas & Ieva Ubarte & Matas Kozlovas & Justas Cerkauskas & Dainius Raupys & Irene Lill & Raido Puust, 2020. "Video Neuroadvertising Recommender System," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 14(1), pages 1-9.
    • Handle: RePEc:isp:journl:v:14:y:2020:i:1:p:1-9
    as

    Download full text from publisher

    File URL: https://www.scientific-publications.net/get/1000043/1600092421174449.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. McKay-Nesbitt, Jane & Manchanda, Rajesh V. & Smith, Malcolm C. & Huhmann, Bruce A., 2011. "Effects of age, need for cognition, and affective intensity on advertising effectiveness," Journal of Business Research, Elsevier, vol. 64(1), pages 12-17, January.
    2. Nelson-Field, Karen & Riebe, Erica & Newstead, Kellie, 2013. "The emotions that drive viral video," Australasian marketing journal, Elsevier, vol. 21(4), pages 205-211.
    3. Hamelin, Nicolas & Moujahid, Othmane El & Thaichon, Park, 2017. "Emotion and advertising effectiveness: A novel facial expression analysis approach," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 103-111.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dina Mardhatilah & Azizah Omar & Ramayah Thurasamy & Rosa Prafitri Juniarti, 2023. "Digital Consumer Engagement: Examining the Impact of Audio and Visual Stimuli Exposure in Social Media," Information Management and Business Review, AMH International, vol. 15(4), pages 94-108.
    2. Rita Ferreira Gomes & Beatriz Casais, 2018. "Feelings generated by threat appeals in social marketing: text and emoji analysis of user reactions to anorexia nervosa campaigns in social media," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 15(4), pages 591-607, December.
    3. Adriana Dima & Elena Radu & Ecaterina Milica Dobrota & Adrian Otoiu & Alina Florentina Saracu, 2023. "Sustainable Development of E-commerce in the Post-COVID Times: A Mixed-Methods Analysis of Pestle Factors," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(S17), pages 1095-1095, November.
    4. Kuppelwieser, Volker G. & Sarstedt, Marko & Tuzovic, Sven, 2014. "The role of context and motivation variables in mobile commerce usage — A further perspective on Chong (2013)," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 156-161.
    5. Leoni Schilling & Sabrina Hegner & Ardion Beldad & Elif Durmaz & Gerrit Hirschfeld, 2024. "Not Our War: The Effects of Response Strategies and Message Frames From a Russian Association on the Public’s Attitude Toward Russians Living in Germany," SAGE Open, , vol. 14(2), pages 21582440241, June.
    6. Ana C. Martinez-Levy & Dario Rossi & Giulia Cartocci & Marco Mancini & Gianluca Flumeri & Arianna Trettel & Fabio Babiloni & Patrizia Cherubino, 2022. "Message framing, non-conscious perception and effectiveness in non-profit advertising. Contribution by neuromarketing research," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 19(1), pages 53-75, March.
    7. Kuppelwieser, Volker G., 2016. "Towards the use of chronological age in research – A cautionary comment," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 17-22.
    8. Crawford, Heather J. & Gregory, Gary D., 2015. "Humorous advertising that travels: A review and call for research," Journal of Business Research, Elsevier, vol. 68(3), pages 569-577.
    9. Ahmed H. Alsharif & Nor Zafir Md Salleh & Mazilah Abdullah & Ahmad Khraiwish & Azmirul Ashaari, 2023. "Neuromarketing Tools Used in the Marketing Mix: A Systematic Literature and Future Research Agenda," SAGE Open, , vol. 13(1), pages 21582440231, February.
    10. Hamelin, Nicolas & Thaichon, Park & Abraham, Christopher & Driver, Nicholas & Lipscombe, Joe & Pillai, Jayarethanam, 2020. "Storytelling, the scale of persuasion and retention: A neuromarketing approach," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    11. Gauzente, Claire & Roy, Yves, 2012. "Message content in keyword campaigns, click behavior, and price-consciousness: A study of millennial consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 19(1), pages 78-87.
    12. Wajid, Anees & Raziq, Muhammad Mustafa & Ahmed, Qazi Mohammed & Ahmad, Mansoor, 2021. "Observing viewers’ self-reported and neurophysiological responses to message appeal in social media advertisements," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    13. Yoo, Jenny Jeongeun & Song, Sangyoung & Jhang, Jihoon, 2022. "Overhead aversion and facial expressions in crowdfunding," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
    14. Ahmed H. Alsharif & Nor Zafir Md Salleh & Rohaizat Baharun & Alharthi Rami Hashem E & Aida Azlina Mansor & Javed Ali & Alhamzah F. Abbas, 2021. "Neuroimaging Techniques in Advertising Research: Main Applications, Development, and Brain Regions and Processes," Sustainability, MDPI, vol. 13(11), pages 1-25, June.
    15. Kim, Minseong, 2021. "Conceptualization of e-servicescapes in the fitness applications and wearable devices context: Multi-dimensions, consumer satisfaction, and behavioral intention," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    16. Melanie Schreiner & Thomas Fischer & Rene Riedl, 2021. "Impact of content characteristics and emotion on behavioral engagement in social media: literature review and research agenda," Electronic Commerce Research, Springer, vol. 21(2), pages 329-345, June.
    17. Razzaq, Ali & Shao, Wei & Quach, Sara, 2024. "Meme marketing effectiveness: A moderated-mediation model," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    18. Miguel Baños-González & Mario Rajas-Fernández & Dolores Lucía Sutil-Martín, 2021. "Analysis of Emotion and Recall in COVID-19 Advertisements: A Neuroscientific Study," IJERPH, MDPI, vol. 18(16), pages 1-18, August.
    19. Ivana Kursan Milakovic & Mirela Mihic, 2015. "Predictors And Outcome Of Attitudes Towards Advertising: Demographics, Personal Factors And Wom," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 24(2), pages 409-432, december.
    20. Kuppelwieser, Volker G. & Sarstedt, Marko, 2014. "Exploring the influence of customers' time horizon perspectives on the satisfaction–loyalty link," Journal of Business Research, Elsevier, vol. 67(12), pages 2620-2627.

    More about this item

    Keywords

    biometrics; viners neuromarketing system; multiple criteria analysis;
    All these keywords.

    JEL classification:

    • A - General Economics and Teaching

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:isp:journl:v:14:y:2020:i:1:p:1-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Svetoslav Ivanov (email available below). General contact details of provider: https://www.scientific-publications.net/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.