IDEAS home Printed from https://ideas.repec.org/a/eee/joepsy/v31y2010i5p777-784.html
   My bibliography  Save this article

Using the P3a to gauge automatic attention to interactive television advertising

Author

Listed:
  • Treleaven-Hassard, Shiree
  • Gold, Joshua
  • Bellman, Steven
  • Schweda, Anika
  • Ciorciari, Joseph
  • Critchley, Christine
  • Varan, Duane

Abstract

This paper is the first step to an understanding of how engagement with interactive television advertisements may increase the relevancy of a brand and therefore facilitate the automatic processing of the brand's logo (measured via the P3a) after viewing the advertisement, compared to non-interactive television ads. Event-related potentials (ERPs) and attitudes were measured in response to advertisement-specific brands. ERP latencies and self-report measures were analysed with mixed design analysis of variance. P3a latency decreased for the brands associated with the longer interactive ads, but remained stable for the brands associated with the normal ads and increased for the control brands. This indicates that automatic attention was greater for those brands which were associated with the longer Dedicated Advertiser Location (DAL) interactive ads in the ad reel. The findings of this analysis suggest that brands associated with interactive ads do have more attention automatically allocated to them.

Suggested Citation

  • Treleaven-Hassard, Shiree & Gold, Joshua & Bellman, Steven & Schweda, Anika & Ciorciari, Joseph & Critchley, Christine & Varan, Duane, 2010. "Using the P3a to gauge automatic attention to interactive television advertising," Journal of Economic Psychology, Elsevier, vol. 31(5), pages 777-784, October.
    • Handle: RePEc:eee:joepsy:v:31:y:2010:i:5:p:777-784
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-4870(10)00030-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alba, Joseph W & Hutchinson, J Wesley, 1987. "Dimensions of Consumer Expertise," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(4), pages 411-454, March.
    2. Bechara, Antoine & Damasio, Antonio R., 2005. "The somatic marker hypothesis: A neural theory of economic decision," Games and Economic Behavior, Elsevier, vol. 52(2), pages 336-372, August.
    3. Ariely, Dan, 2000. "Controlling the Information Flow: Effects on Consumers' Decision Making and Preferences," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(2), pages 233-248, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ralph S. Redden & Greg A. Gagliardi & Chad C. Williams & Cameron D. Hassall & Olave E. Krigolson, 2021. "Champ versus Chump: Viewing an Opponent’s Face Engages Attention but Not Reward Systems," Games, MDPI, vol. 12(3), pages 1-12, July.
    2. 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.
    3. Daugherty, Terry & Hoffman, Ernest & Kennedy, Kathleen, 2016. "Research in reverse: Ad testing using an inductive consumer neuroscience approach," Journal of Business Research, Elsevier, vol. 69(8), pages 3168-3176.
    4. 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.

    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. Algharabat, Raed & Abdallah Alalwan, Ali & Rana, Nripendra P. & Dwivedi, Yogesh K., 2017. "Three dimensional product presentation quality antecedents and their consequences for online retailers: The moderating role of virtual product experience," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 203-217.
    2. Maurer, Steven D. & Liu, Yuping, 2007. "Developing effective e-recruiting websites: Insights for managers from marketers," Business Horizons, Elsevier, vol. 50(4), pages 305-314.
    3. Zuschke, Nick, 2020. "An analysis of process-tracing research on consumer decision-making," Journal of Business Research, Elsevier, vol. 111(C), pages 305-320.
    4. Gupta, Pranjal & Yadav, Manjit S. & Varadarajan, Rajan, 2009. "How Task-Facilitative Interactive Tools Foster Buyers’ Trust in Online Retailers: A Process View of Trust Development in the Electronic Marketplace," Journal of Retailing, Elsevier, vol. 85(2), pages 159-176.
    5. Oleg Curbatov, 2013. "The 'Knowledge Marketing': A New Trend In A Management Science World," Post-Print hal-01509370, HAL.
    6. Wasib B Latif & Md. Aminul Islam & Idris Bin Mohd Noor, 2014. "A Conceptual Framework to Build Brand Loyalty in the Modern Marketing Environment," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 4(10), pages 547-557, October.
    7. Agnès Helme-Guizon & Fanny Magnoni, 2019. "Consumer brand engagement and its social side on brand-hosted social media: how do they contribute to brand loyalty?," Post-Print hal-03591683, HAL.
    8. Dow Alexander & Dow Sheila C., 2011. "Animal Spirits Revisited," Capitalism and Society, De Gruyter, vol. 6(2), pages 1-25, December.
    9. Andreas Herrmann & Michael D. Johnson, 1999. "Die Kundenzufriedenheit als Bestimmungsfaktor der Kundenbindung," Schmalenbach Journal of Business Research, Springer, vol. 51(6), pages 579-598, June.
    10. Irina Heimbach & Oliver Hinz, 2018. "The Impact of Sharing Mechanism Design on Content Sharing in Online Social Networks," Information Systems Research, INFORMS, vol. 29(3), pages 592-611, September.
    11. Aîda Mimouni & Ouidade Sabri-Zaaraoui & Béatrice Parguel, 2010. "Competitive Advertising Within Store Flyers: A Win-Win Strategy?," Post-Print halshs-00634439, HAL.
    12. Da Silva, Sergio, 2009. "Does Macroeconomics Need Microeconomic Foundations?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-11.
    13. Weisstein, Fei L. & Kukar-Kinney, Monika & Monroe, Kent B., 2016. "Determinants of consumers' response to pay-what-you-want pricing strategy on the Internet," Journal of Business Research, Elsevier, vol. 69(10), pages 4313-4320.
    14. Koehler, C.F. & Breugelmans, E. & Dellaert, B.G.C., 2010. "Consumer Acceptance of Recommendations by Interactive Decision Aids: The Joint Role of Temporal Distance and Concrete vs. Abstract Communications," ERIM Report Series Research in Management ERS-2010-041-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    15. Hamelin, Nicolas & Bonelli, Marco I., 2022. "Traders’ anticipatory feelings and traders’ profitability: An exploratory study," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
    16. F. Magnoni & Elyette Roux, 2011. "Stretching a luxury brand down: An experimental study of core brand dilution effects," Post-Print halshs-00644899, HAL.
    17. Lim, Thien Sang & Mail, Rasid & Abd Karim, Mohd Rahimie & Ahmad Baharul Ulum, Zatul Karamah & Jaidi, Junainah & Noordin, Raman, 2018. "A serial mediation model of financial knowledge on the intention to invest: The central role of risk perception and attitude," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 74-79.
    18. Dong Hoo Kim & Doori Song, 2019. "Can brand experience shorten consumers’ psychological distance toward the brand? The effect of brand experience on consumers’ construal level," Journal of Brand Management, Palgrave Macmillan, vol. 26(3), pages 255-267, May.
    19. Eric Johnson & Simon Gaechter & Andreas Herrmann, 2006. "Exploring the Nature of Loss Aversion," Discussion Papers 2006-02, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    20. Malin Sundström & Anita Radon, 2015. "Utilizing The Concept Of Convenience As A Business Opportunity In Emerging Markets," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 6(2).

    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:eee:joepsy:v:31:y:2010:i:5:p:777-784. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joep .

    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.