The Visual Complexity of Chinese Cultural Element and Perceptual Fluency: The Moderating Role of Prior Exposure

  • Thomas Wang UNIMAS
  • Louis Ringah Kanyan
  • Musdi Shanat


This study examines the influence of visual complexity in Chinese cultural elements (CCE) on perceptual fluency and the moderating role of prior exposure. Recognizing the growing relevance of CCE in Chinese market branding, we hypothesized that higher visual complexity decreases perceptual fluency, while prior exposure positively moderates this relationship. A questionnaire-based survey was conducted with 167 respondents in China. Results supported our hypotheses, indicating that CCE with lower visual complexity are perceived more easily, and prior exposure to CCE enhances perceptual fluency. These findings have crucial implications for marketing strategies involving CCE, suggesting that visual complexity should be carefully considered to improve consumer perception and potential behavior. This research fills a gap in current literature that predominantly focuses on Western elements and suggests further exploration into different levels of visual complexity and post-perceptual fluency behaviors.


Alter, A. L., & Oppenheimer, D. M. (2009). Uniting the tribes of fluency to form a metacognitive nation. Personality and Social Psychology Review, 13(3), 219-235.
Berlyne, D. E., and S. Peckham. (1966). The Semantic Differential and Other Measures of Reaction to Visual Complexity. Canadian Journal of Psychology, 20, 125-135.
Bigoin-Gagnan, A., & Lacoste-Badie, S. (2018). Symmetry influences packaging aesthetic evaluation and purchase intention. International Journal of Retail and Distribution Management, 46(11–12), 1026–1040.
Bornstein, Robert F. (1989). Exposure and Affect: Overview and Meta-Analysis of Research, 1986–1987. Psychological Bulletin, 106, 265–289.
Chan, E. Y. and Northey, G. (2021). Luxury goods in online retail: How high/low positioning influences consumer processing fluency and preference. Journal of Business Research, 132, 136-145.
Cummings, M. L., & Tsonis, C. G. (2006). Partitioning complexity in air traffic management tasks. International Journal of Aviation Psychology, 16, 277-295.
Donderi, D. C. (2003). A Complexity Measure for Electronic Displays: Final Report on the Experiments. Toronto, ON, Canada: Defense Research and Development Canada.
Donderi, D. C., and S. McFadden. (2005). Compressed File Length Predicts Search Time and Errors on Visual Displays. Displays, 26, 71-78.
Fechner, Gustav T. (1876). Vorschule der Aesthetik. Leipzig: Breitkoff & Hartel.
Foley, J. P. (2009). Now you see it, now you don’t: Visual occlusion as a surrogate distraction measurement technique. In M. A. Regan, J. D. Lee, & K. L. Young (Eds.), Driver distraction: Theory, effects, and mitigation (pp. 123–134). Boca Raton, FL: CRC Press/Taylor & Francis.
Garner, W. R. (1974). The processing of information and structure. New York: Wiley.
Harper, S., Michailidou, E., & Stevens, R. (2009). Toward a definition of visual complexity as an implicit measure of cognitive load. ACM Transactions on Applied Perception, 6(2), 1–18.
Kemps, E. (1999). Effects of complexity on visuo-spatial working memory. European Journal of Cognitive Psychology, 11, 335–356.
Kuo, A., & Rice, D. H. (2015). The impact of perceptual congruence on the effectiveness of cause-related marketing campaigns. Journal of Consumer Psychology, 25(1), 78-88.
Laforet, S., & Chen, J. (2012). Chinese and British consumers’ evaluation of Chinese and international brands and factors affecting their choice. Journal of World Business, 47(1), 54-63.
Larsen, V., Luna, D., & Peracchio, L. A. (2004). Points of view and pieces of time: A taxonomy of image attributes. Journal of Consumer Research, 31(1), 102-111.
Lee, A. Y., & Labroo, A. A. (2004). The effect of conceptual and perceptual fluency on brand evaluation. Journal of Marketing Research, 41(2), 151-165.
Ledder et al. (2004) - This reference also requires more specific information for accurate citation in APA style, as it is not clearly identifiable in the provided list.
Maier, E., & Dost, F. (2018). Fluent contextual image backgrounds enhance mental imagery and evaluations of experience products. Journal of Retailing and Consumer Services, 45, 207–220.
Maier, E., & Dost, F. (2018). The positive effect of contextual image backgrounds on fluency and liking. Journal of Retailing and Consumer Services, 40, 109–16.
Maslow, A. H. (1937). The Influence of Familiarization of Preference. Journal of Experimental Psychology, 21, 162–180.
Mayer, S., & Landwehr, J. R. (2014). When complexity is symmetric: the interplay of two core determinants of visual aesthetics. Advances in Consumer Research, 42, 608–609.
Oliva, A., Mack, M. L., Shrestha, M., & Peeper, A. (2004). Identifying the perceptual dimensions of visual complexity of scenes. Proceedings of the Annual Meeting of the Cognitive Science Society, 26, 1041–1046.
Oliva, A., Mack, M. L., Shrestha, M., & Peeper, A. (2004). Identifying the perceptual dimensions of visual complexity of scenes. Paper presented at the 26th.
Orth, U. R., & Wirtz, J. (2014). Consumer Processing of Interior Service Environments: The Interplay Among Visual Complexity, Processing Fluency, and Attractiveness. Journal of Service Research, 17(3), 296–309.
Peracchio, L. A., & Meyers-Levy, J. (1997). Evaluating Persuasion-Enhancing Techniques from a Resource-Matching Perspective. The Journal of Consumer Research, 24(2), 178–191.
Pieters, R., Wedel, M., & Batra, R. (2010). The stopping power of advertising: Measures and effects of visual complexity. Journal of Marketing, 74(5), 48–60.
Purchase, H. C., Freeman, E., & Hamer, J. (2012). An exploration of visual complexity. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7352 LNAI, 200–213.
Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124(3), 372–422.
Reber, R., Winkielman, P., & Schwarz, N. (1998). Effects of perceptual fluency on affective judgments. Psychological Science, 9(1), 45–48.
Reber, R., Winkielman, P., & Schwarz, N. (2004). Processing fluency and aesthetic pleasure: Is beauty in the perceiver's processing experience? Personality and Social Psychology Review, 8(4), 364–382.
Rolf Reber, N. S. and P. W. (2006). Processing Fluency and Aesthetic Pleasure: Is Beauty in the Perceiver’s Processing Experience? Personality and Social Psychology Review.
Shi, J., & Jiang, Z. (2022). Chinese cultural element in brand logo and purchase intention. Marketing Intelligence and Planning.
Snodgrass, J. G., & Vanderwart, M. (1980). A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity, and visual complexity. Journal of Experimental Psychology: Human Learning and Memory, 6(2), 174.
Stickel, C., M. Ebner, & Holzinger, A. (2010). The XAOS Metric—Understanding visual complexity as measure of usability. In G. Leitner, M. Hitz, & A. Holzinger (Eds.), HCI in work and learning, life and leisure (pp. 278–290). Berlin, Germany: Springer.
Tuch, A. N., Bargas-Avila, J. A., Opwis, K., & Wilhelm, F. H. (2009). Visual complexity of websites: Effects on user’s experience, physiology, performance, and memory. International Journal of Human–Computer Studies, 67, 703–715.
Winkielman, P., Schwarz, N., Fazendeiro, T. A., & Reber, R. (2018). The Hedonic Marking of Processing Fluency: Implications for Evaluative Judgment. Ecosystem Services, 32, 50–61.
Winkielman, P., Schwarz, N., Fazendeiro, T., & Reber, R. (2003). The hedonic marking of processing fluency: Implications for evaluative judgment. In J. Musch & K. C. Klauer (Eds.), The psychology of evaluation: Affective processes in cognition and emotion (pp. 189–217). Mahwah, NJ: Erlbaum.
Wu, K., Vassileva, J., Zhao, Y., Noorian, Z., Waldner, W., & Adaji, I. (2016). Complexity or simplicity? Designing product pictures for advertising in online marketplaces. Journal of Retailing and Consumer Services, 28, 17–27.
Wu, Z., Borgerson, J. L., and Schroeder, J. E. (2013). From Chinese Brand Culture to Global Brands: Insights from Aesthetics, Fashion and History. Basingstoke: Palgrave Macmillan.
Xing, J. (2007). Information complexity in air traffic control displays. In J. Jacko (Ed.), Human–computer interaction. HCI applications and services (pp. 797–806). Berlin, Germany: Springer.
Yoon, S. H., Lim, J. H., & Ji, Y. G. (2015). Perceived Visual Complexity and Visual Search Performance of Automotive Instrument Cluster: A Quantitative Measurement Study. International Journal of Human-Computer Interaction, 31(12), 890–900.
Zhou, F. F. (2008). On the essence of ideas in traditional Chinese aesthetics, 9(1). (in Chinese).
How to Cite
WANG, Thomas; RINGAH KANYAN, Louis; SHANAT, Musdi. The Visual Complexity of Chinese Cultural Element and Perceptual Fluency: The Moderating Role of Prior Exposure. Asian Journal of Research in Education and Social Sciences, [S.l.], v. 6, n. 1, p. 584-592, mar. 2024. Available at: <>. Date accessed: 20 may 2024.
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