Abstract
There has been a growth in e-commerce, presenting consumers with varied forms of advertising. A key goal of web advertising is to leave a lasting impression on the user, and web satisfaction is an important measure of the quality and usability of a web page after an ad is placed on it. This experiment manipulated participants’ purpose in web browsing (free browsing versus goal oriented) and the color combination of the web background and the vertical-ad background (high or low hue contrast) to predict users’ satisfaction with the web page and the degree of ad recall. The psychological mechanisms of this effect were also explored using an eye-tracking device to record and analyze eye movements. The participants were 120 university students, 64.2% of whom were female and 35.8% of whom were male. During free browsing, participants could simulate the daily use of a browser to browse the web and were given 120 s to do so, and in the task-oriented browsing condition, participants were told in advance that they had to summarize the headlines of each news item one at a time within 120 s. The results showed that, in the free-viewing task, the hue contrast between the ad–web background colors negatively affected web satisfaction and ad memory whereas there was no significant difference in this effect in the goal-oriented task. Furthermore, in the free-viewing task, the level of attentional intrusion mediated the effect of ad–web hue contrast on the degree of ad recall; color harmony mediated the effect of hue contrast on the user’s evaluation of web satisfaction. These results can act as a new reference for web design research and marketing practice.
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Data available on request from the authors. The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
Aljukhadar, M., Bériault Poirier, A., & Senecal, S. (2020). Imagery makes social media captivating! Aesthetic value in a consumer-as-value-maximizer framework. Journal of Research in Interactive Marketing, 14(3), 285–303. https://doi.org/10.1108/jrim-10-2018-0136
Barrouillet, P. (2011). Dual-process theories and cognitive development: Advances and challenges. Developmental Review, 31(2–3), 79–85. https://doi.org/10.1016/j.dr.2011.07.002
Burns, K. S., & Lutz, R. J. (2006). The function of format: Consumer responses to six on-line advertising formats. Journal of Advertising, 35(1), 53–63. https://doi.org/10.2753/joa0091-3367350104
Cartwright-Finch, U., & Lavie, N. (2007). The role of perceptual load in inattentional blindness. Cognition, 102(3), 321–340. https://doi.org/10.1016/j.cognition.2006.01.002
Chiu, Y.-P., Lo, S.-K., & Hsieh, A.-Y. (2017). How colour similarity can make banner advertising effective: Insights from Gestalt theory. Behaviour & Information Technology, 36(6), 606–619. https://doi.org/10.1080/0144929x.2016.1267264
Cho, C. H., & Cheon, H. J. (2004). Why Do People Avoid Advertising on the Internet? Journal of Advertising, 33(4), 89–97. https://doi.org/10.1080/00913367.2004.10639175
Chuang, M.-C., & Ou, L.-C. (2001). Influence of a holistic color interval on color harmony. Color Research & Application, 26(1), 29–39. https://doi.org/10.1002/1520-6378(200102)26:1%3C29::aid-col4%3E3.0.co;2-b
Deeb, R., Ooms, K., Brychtová, A., Van Eetvelde, V., & De Maeyer, P. (2015). Background and foreground interaction: Influence of complementary colors on the search task. Color Research & Application, 40(5), 437–445. https://doi.org/10.1002/col.21920
Drèze, X., & Hussherr, F. X. (2003). Internet advertising: Is anybody watching? Journal of Interactive Marketing, 17(4), 8–23. https://doi.org/10.1002/dir.10063
Elliot, A. J., & Maier, M. A. (2007). Color and psychological functioning. Current Directions in Psychological Science, 16(5), 250–254. https://doi.org/10.1111/j.1467-8721.2007.00514.x
Evans, JSt. B. T. (2011). Dual-process theories of reasoning: Contemporary issues and developmental applications. Developmental Review, 31(2–3), 86–102. https://doi.org/10.1016/j.dr.2011.07.007
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical Power Analyses Using G*Power 3.1: Tests for Correlation and Regression Analyses. Behavior Research Methods, 41, 1149–1160. https://doi.org/10.3758/BRM.41.4.1149
Gillebaart, M., Förster, J., & Rotteveel, M. (2012). Mere exposure revisited: The influence of growth versus security cues on evaluations of novel and familiar stimuli. Journal of Experimental Psychology: General, 141(4), 699. https://doi.org/10.1037/a0027612
Guo, F., Chen, J., Li, M., Lyu, W., & Zhang, J. (2022). Effects of visual complexity on user search behavior and satisfaction: An eye-tracking study of mobile news apps. Universal Access in the Information Society, 21(4), 795–808. https://doi.org/10.1007/s10209-021-00815-1
Hekkert, P., & Wieringen, P. C. W. (1990). Complexity and prototypicality as determinants of the appraisal of cubist paintings. British Journal of Psychology, 81(4), 483–495. https://doi.org/10.1111/j.2044-8295.1990.tb02374.x
Janiszewski, C., Kuo, A., & Tavassoli, N. T. (2013). The influence of selective attention and inattention to products on subsequent choice. Journal of Consumer Research, 39(6), 1258–1274. https://doi.org/10.1086/668234
Jeon, E., Han, Y., & Nam, M. (2020). How you see yourself influences your color preference: Effects of self-construal on evaluations of color combinations. Psychology & Marketing, 37(7), 980–994. https://doi.org/10.1002/mar.21348
Jonauskaite, D., Mohr, C., Antonietti, J.-P., Spiers, P. M., Althaus, B., Anil, S., & Dael, N. (2016). Most and Least Preferred Colours Differ According to Object Context: New Insights from an Unrestricted Colour Range. PLoS One, 11(3), e0152194. https://doi.org/10.1371/journal.pone.0152194
Jung, J., Shim, S. W., Jin, H. S., & Khang, H. (2016). Factors affecting attitudes and behavioural intention towards social networking advertising: A case of Facebook users in South Korea. International Journal of Advertising, 35(2), 248–265. https://doi.org/10.1080/02650487.2015.1014777
Ko, I., Wei, X., & An, N. (2019, January). An exploratory study for perceived advertising value in the relationship between irritation and advertising avoidance on the mobile social platforms. In Proceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10.24251/hicss.2019.045
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
Labrecque, L. I. (2020). Color research in marketing: Theoretical and technical considerations for conducting rigorous and impactful color research. Psychology & Marketing, 37(7), 855–863. https://doi.org/10.1002/mar.21359
Lavie, N., Hirst, A., de Fockert, J. W., & Viding, E. (2004). Load Theory of Selective Attention and Cognitive Control. Journal of Experimental Psychology: General, 133(3), 339–354. https://doi.org/10.1093/oxfordhb/9780199675111.013.003
Li, H., Edwards, S. M., & Lee, J.-H. (2002). Measuring the Intrusiveness of Advertisements: Scale Development and Validation. Journal of Advertising, 31(2), 37–47. https://doi.org/10.1080/00913367.2002.10673665
Li, Y. (2019). User perception affects search engine advertising avoidance: Moderating role of user characteristics. Social Behavior and Personality: An International Journal, 47(4), 1–12. https://doi.org/10.2224/sbp.7855
Lim, H., & Childs, M. (2020). Visual storytelling on Instagram: Branded photo narrative and the role of telepresence. Journal of Research in Interactive Marketing, 14(1), 33–50. https://doi.org/10.1108/jrim-09-2018-0115
Martín-Santana, J. D., Reinares-Lara, P., & Reinares-Lara, E. (2016). Spot length and unaided recall in television: Optimizing media planning variables in advertising breaks. Journal of Advertising Research, 56(3), 274–288. https://doi.org/10.2501/jar-2016-035
Martinez, L. M., Rando, B., Agante, L., & Abreu, A. M. (2021). True colors: Consumers’ packaging choices depend on the color of retail environment. Journal of Retailing and Consumer Services, 59, 102372. https://doi.org/10.1016/j.jretconser.2020.102372
Martins, J., Costa, C., Oliveira, T., Gonçalves, R., & Branco, F. (2019). How smartphone advertising influences consumers’ purchase intention. Journal of Business Research, 94, 378–387. https://doi.org/10.1016/j.jbusres.2017.12.047
McCarthy, M. S., & Mothersbaugh, D. L. (2002). Effects of typographic factors in advertising-based persuasion: A general model and initial empirical tests. Psychology & Marketing, 19(7–8), 663–691. https://doi.org/10.1002/mar.10030
McCoy, S., Everard, A., Galletta, D. F., & Moody, G. D. (2017). Here we go again! The impact of website ad repetition on recall, intrusiveness, attitudes, and site revisit intentions. Information & Management, 54(1), 14–24. https://doi.org/10.1016/j.im.2016.03.005
Niu, X., Wang, X., & Liu, Z. (2021). When I feel invaded, I will avoid it: The effect of advertising invasiveness on consumers’ avoidance of social media advertising. Journal of Retailing and Consumer Services, 58, 102320. https://doi.org/10.1016/j.jretconser.2020.102320
Novak, T. P., Hoffman, D. L., & Duhachek, A. (2003). The influence of goal-directed and experiential activities on online flow experiences. Journal of Consumer Psychology, 13(1–2), 3–16. https://doi.org/10.1207/153276603768344744
Panigyrakis, G. G., & Kyrousi, A. G. (2015). Color effects in print advertising: A research update (1985–2012). Corporate Communications: An International Journal, 20(3), 233–255. https://doi.org/10.1108/ccij-12-2011-0072
Petrovici, D. A. (2017). Perceived advertising intrusiveness and avoidance in emerging economies: The case of China. Research Handbook of Marketing in Emerging Economies (pp. 125–145). Edward Elgar Publishing. https://doi.org/10.4337/9781784713171.00014
Putrevu, S., & Lord, K. R. (2003). Processing Internet Communications: A Motivation, Opportunity and Ability Framework. Journal of Current Issues & Research in Advertising, 25(1), 45–59. https://doi.org/10.1080/10641734.2003.10505140
Ou, L. C., Yuan, Y., Sato, T., Lee, W. Y., Szabó, F., Sueeprasan, S., & Huertas, R. (2018). Universal models of colour emotion and colour harmony. Color Research & Application, 43(5), 736–748. https://doi.org/10.1002/col.22243
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
Schloss, K. B., & Palmer, S. E. (2011). Aesthetic response to color combinations: Preference, harmony, and similarity. Attention, Perception, & Psychophysics, 73(2), 551–571. https://doi.org/10.3758/s13414-010-0027-0
Sigel, A., Braun, G., & Sena, M. (2008). The impact of banner ad styles on interaction and click-through rates. Issues in Information Systems, 9(2), 337–342. https://doi.org/10.48009/2_iis_2008_337-342
Speck, P. S., & Elliott, M. T. (1997). Predictors of Advertising Avoidance in Print and Broadcast Media. Journal of Advertising, 26(3), 61–76. https://doi.org/10.1080/00913367.1997.10673529
Wang, K., Wang, E. T., & Farn, C. K. (2009). Influence of web advertising strategies, consumer goal-directedness, and consumer involvement on web advertising effectiveness. International Journal of Electronic Commerce, 13(4), 67–96. https://doi.org/10.2753/jec1086-4415130404
White, A. R., Martinez, L. M., Martinez, L. F., & Rando, B. (2021). Color in web banner advertising: The influence of analogous and complementary colors on attitude and purchase intention. Electronic Commerce Research and Applications, 50, 101100. https://doi.org/10.1016/j.elerap.2021.101100
Wolfrom, J. (1992). The magical effects of color. C&T Publishing Inc.
Xie, J. (2022). The Exposure Effect of Static Banner Advertising on Purpose-oriented Users. Frontiers in Business, Economics and Management, 6(3), 74–77. https://doi.org/10.54097/fbem.v6i3.3315
Yang, Q., Zhou, Y., Jiang, Y., & Huo, J. (2021). How to overcome online banner blindness? A study on the effects of creativity. Journal of Research in Interactive Marketing, 15(2), 223–242. https://doi.org/10.1108/jrim-12-2019-0212
Zhang, C., Luo, Y., Wu, L., & Deng, S. (2022). Research on the Matching of Advertisement and Interface Background Color of Online Shopping App: Based on Eye Movement Experiment. In Man-Machine-Environment System Engineering: Proceedings of the 21st International Conference on MMESE: Commemorative Conference for the 110th Anniversary of Xuesen Qian’s Birth and the 40th Anniversary of Founding of Man-Machine-Environment System Engineering 21 (pp. 585–592). Springer Singapore. https://doi.org/10.1007/978-981-16-5963-8_80
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Xia, T., Yan, Y. & Guo, J. Color in web-advertising: the effect of color hue contrast on web satisfaction and advertising memory. Curr Psychol 43, 14645–14658 (2024). https://doi.org/10.1007/s12144-023-05429-9
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DOI: https://doi.org/10.1007/s12144-023-05429-9