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. 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.
    2. 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.
    3. 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.
    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. 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.
    3. 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.
    4. Zuschke, Nick, 2020. "An analysis of process-tracing research on consumer decision-making," Journal of Business Research, Elsevier, vol. 111(C), pages 305-320.
    5. Dow Alexander & Dow Sheila C., 2011. "Animal Spirits Revisited," Capitalism and Society, De Gruyter, vol. 6(2), pages 1-25, December.
    6. 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.
    7. 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.
    8. 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).
    9. F. Magnoni & Elyette Roux, 2011. "Stretching a luxury brand down: An experimental study of core brand dilution effects," Post-Print halshs-00644899, HAL.
    10. 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.
    11. Rong Li & Amiya K. Basu, 2020. "Pricing Strategy for GM Food: Impact of Consumer Attitude Heterogeneity and GMO Food Labelling," Annals of Operations Research, Springer, vol. 291(1), pages 463-474, August.
    12. Adam, Marc T.P. & Astor, Philipp J. & Krämer, Jan, 2016. "Affective Images, Emotion Regulation and Bidding Behavior: An Experiment on the Influence of Competition and Community Emotions in Internet Auctions," Journal of Interactive Marketing, Elsevier, vol. 35(C), pages 56-69.
    13. Catherine Viot & Juliette Passebois-Ducros, 2010. "Wine brands or branded wines? The specificity of the French market in terms of the brand," Post-Print hal-01803728, HAL.
    14. Lea Sonderegger-Wakolbinger & Christian Stummer, 2015. "An agent-based simulation of customer multi-channel choice behavior," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(2), pages 459-477, June.
    15. William G. Heninger & Alan R. Dennis & Kelly McNamara Hilmer, 2006. "Research Note: Individual Cognition and Dual-Task Interference in Group Support Systems," Information Systems Research, INFORMS, vol. 17(4), pages 415-424, December.
    16. Vanitha Swaminathan & Srinivas Reddy & Sara Dommer, 2012. "Spillover effects of ingredient branded strategies on brand choice: A field study," Marketing Letters, Springer, vol. 23(1), pages 237-251, March.
    17. Daniel R Clark & Dan Li & Dean A Shepherd, 2018. "Country familiarity in the initial stage of foreign market selection," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 49(4), pages 442-472, May.
    18. Ainsworth, Jeremy & Foster, Jamye, 2017. "Comfort in brick and mortar shopping experiences: Examining antecedents and consequences of comfortable retail experiences," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 27-35.
    19. Nenycz-Thiel, Magda & Romaniuk, Jenni, 2016. "Understanding premium private labels: A consumer categorisation approach," Journal of Retailing and Consumer Services, Elsevier, vol. 29(C), pages 22-30.
    20. Stefan Hoffmann & Tom Joerß & Robert Mai & Payam Akbar, 2022. "Augmented reality-delivered product information at the point of sale: when information controllability backfires," Journal of the Academy of Marketing Science, Springer, vol. 50(4), pages 743-776, July.

    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.