How the interaction between animation and the position of the banner on the screen influences attitude towards the advertised brand
DOI:
https://doi.org/10.5585/remark.v21i2.16670Keywords:
Banners, Hemispheric Processing Model, Animation, Consumer attitudeAbstract
Objective: To demonstrate that the animation eliminates the effect that the position of the banner on the screen (right vs. left) has on the consumer’s attitude towards the advertised brand.
Method: Two experiments were carried out with university students as participants.
Originality / Relevance: Based on the Hemispheric Processing Model (HPM), ads located to the left (vs. right) of the observer will be evaluated more positively. In this study, it was demonstrated that animation is capable of interfering with the effect that the stimulus’ position has on the observer’s assessment. Specifically, when a banner is animated, its position (left vs. right) no longer influences the consumer's attitude towards the advertised brand.
Results: Brands advertised on static banners located to the left (vs. right) of the viewer were evaluated more positively, in accordance with the HPM. However, when the banner was animated, its position (left vs. right) no longer influenced the attitude towards the advertised brand. Thus, the animation attenuated the effect of the position of the banner on the screen on the attitude towards the advertised brand.
Theoretical / methodological contributions: The result obtained contributes to marketing and advertising studies based on HPM by demonstrating that animation interferes with the effect defended by MPH that stimuli located to the left (vs. right) of the observer will be evaluated more positively.
Social / management contributions: The result obtained offers insights for advertisers about the best combination of variables to optimize the persuasiveness of banners inserted in television programs or web pages.
Downloads
References
Allen, M. (1983). Models of hemispheric specialization. Psychological Bulletin, 93(1), 72-104. https://doi.org/10.1037/0033-2909.93.1.73
Berlucchi, G. (1972). Anatomical and physiological aspects of visual functions of corpus callosum. Brain Research, 37(1), 371-392. 10.1016/0006-8993(72)90708-1
Briggs, R., & Hollis, N. (1997). Advertising on the web: Is there response before click-through?. Journal of Advertising research, 37(2), 33-46.
Chae, B., & Hoegg, J. (2013). The future looks “right”: Effects of the horizontal location of advertising images on product attitude. Journal of Consumer Research, 40(2), 223-238. https://doi.org/10.1086/669476
Curtis, H. (1968). Biology. New York: Worth.
Deng, X., & Kahn, B. E. (2009). Is your product on the right side? The “location effect” on perceived product heaviness and package evaluation. Journal of Marketing Research, 46(6), 725-738. https://doi.org/10.1509/jmkr.46.6.725_JMR6B
Friedman, A., & Polson, M. C. (1981). Hemispheres as independent resource systems: limited-capacity processing and cerebral specialization. Journal of Experimental Psychology, 7(5), 1031-1058. https://doi.org/10.1037/0096-1523.7.5.1031
Hamborg, K. C., Bruns, M., Ollermann, F., & Kaspar, K. (2012). The effect of banner animation on fixation behavior and recall performance in search tasks. Computers in Human Behavior, 28(2), 576-582. https://doi.org/10.1016/j.chb.2011.11.003
Hervé, P. Y., Zago, L., Petit, L., Mazoyer, B., & Mazoyer, N, T. (2013). Revisiting human hemispheric specialization with neuroimaging. Trends in Cognitive Sciences, 55, 1-12. https://doi.org/10.1016/j.tics.2012.12.004
Janiszewski, C. (1988). Preconscious processing effects: the independence of attitude formation and conscious thought. Journal of Consumer Research, 15(2), 199-209. https://doi.org/10.1086/209157
Janiszewski, C. (1990) The influence of nonattended material on the processing of advertising claims. Journal of Marketing Research, 27(3), 263-278. https://doi.org/10.1177/002224379002700302
Krugman, D. M., Cameron, G. T., & White, C. M. (1995). Visual attention to programming and commercials: The use of in-home observations. Journal of Advertising, 24(1), 1-12. https://doi.org/10.1080/00913367.1995.10673464
Kuisma, J., Simola, J., Uusitalo, L., & Öörni, A. (2010). The effects of animation and format on the perception and memory of online advertising. Journal of Interactive Marketing, 24(4), 269-282. https://doi.org/10.1016/j.intmar.2010.07.002
Kyung, E. J., Thomas, M., & Krishna, A. (2017). When big is better (and when it is not): implicit bias in numeric judgements. Journal of Consumer Research, 44(3), 62-79. https://doi.org/10.1093/jcr/ucw079
Lee, J., Ahn, J. H., & Park, B. (2015). The effect of repetition in internet banner ads and the moderating role of animation. Computers in Human Behavior, 46, 202–209. https://doi.org/10.1016/j.chb.2015.01.008
Li, H., & Bukovac, J. L. (1999). Cognitive impact of banner ad characteristics: An experimental study. Journalism & Mass Communication Quarterly, 76(2), 341-353. https://doi.org/10.1177/107769909907600211
Li, K., Huang, G., & Bente, G. (2016). The impacts of banner format and animation speed on banner effectiveness: Evidence from eye movements. Computers in Human Behavior, 54, 522-530. https://doi.org/10.1016/j.chb.2015.08.056
Manchanda, P., Dubé, J. P., Goh, K. Y., & Chintagunta, P. K. (2006). The effect of banner advertising on internet purchasing. Journal of Marketing Research, 43(1), 98-108. https://doi.org/10.1509/jmkr.43.1.98
Petroll, M. De La. M., & Prado, P. H. M. (2015). Os pop-up ads estão entre nós: a invasão desse placement televisivo e seus efeitos sobre o consumidor com auxílio da tecnologia do eye tracking. Revista Brasileira de Marketing, 14(1), 18–32. https://doi.org/10.5585/remark.v14i1.2738
Resnick, M., & Albert, W. (2014). The impact of advertising location and user task on the emergence of banner ad blindness: An eye-tracking study. International Journal of Human-Computer Interaction, 30(3), 206-219. https://doi.org/10.1080/10447318.2013.847762
Shapiro, S., MacInnis, D. J., & Heckler, S. E. (1997). The effects of incidental ad exposure on the formation of consideration sets. Journal of consumer research, 24(1), 94-104. https://doi.org/10.1086/209496
Spiller, S. A., Fitzsimons, G. J., Lynch Jr., J. G., & McClelland, G. H. (2013). Spotlights, floodlights, and the magic number zero: Simple effects tests in moderated regression. Journal of Marketing Research, 50(2), 277-288. https://doi.org/10.1509/jmr.12.0420
Stephan, K. E., Fink, G. R., & Marshall, J. C. (2007). Mechanisms of hemispheric specialization: insights from analyses of connectivity. Neuropsychologia, 45, 209-228. https://doi.org/10.1016/j.neuropsychologia.2006.07.002
Zubicaray, G., Fraser, D., Ramajoo, K., & McMahon, K. (2017). Interference from related actions in spoken word production: behavioural and fMRI evidence. Neuropsychologia. https://doi.org/10.1016/j.neuropsychologia.2017.01.010
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Brazilian Journal of Marketing - BJM
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.