Simple or complex? Consumer response to display signs
Main Article Content
Abstract
Retail signage provides information from the marketer to facilitate product purchase. An increase in sign information creates greater sign complexity, which raises the question: for consumer product choices, what quantity of information is helpful versus overwhelming? We hypothesize that consumers would allocate more visual attention to complex signs and that sign complexity would be a predictor of likeliness to buy (LTB). Five experts rated 105 real garden center signs for complexity and five low, moderate, and highcomplexity signs were selected for the study. Signs were incorporated into Tobii X1 Light Eye Tracker software, where 85 non-student subjects rated sign attractiveness and LTB from a display containing that sign. Subjects allocated greater visual attention (higher fixation count and longer total fixation duration) to more complex signs, which were also rated as most attractive. Initial regression results showed sign attractiveness and fixation count were positive predictors of LTB, while complexity and total fixation duration were inversely related to LTB. Mediation analysis showed that fixation duration fully mediates fixation count impact on purchase intention. Results suggest that informationrich messaging in high complexity signs, while seen as attractive, may give consumers too much information and higher cognitive load, which makes decision-making more difficult.
Article Details
References
Anderson, R. E. and Jolson, M. A. (1980). Technical wording in advertising: Implications for market segmentation. Journal of Marketing 44(1), 57-66. DOI: https://doi.org/10.1177/002224298004400108
Ares, G., Mawad, F., Giménez, A. and Maiche, A. (2014). Influence of rational and intuitive thinking styles on food choice: Preliminary evidence from an eye-tracking study with yogurt labels. Food Quality and Preference 31, 28-37. DOI: https://doi.org/10.1016/j.foodqual.2013.07.005
Atalay, A. S., Bodur, H. O., and Rasolofoarison, D. (2012). Shining in the center: Central gaze cascade effect on product choice. Journal of Consumer Research 39(4), 848-866. DOI: https://doi.org/10.1086/665984
“Attractiveness.” (2020). Oxford Online Dictionary.
Baron, R. M. and Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology 51, 1173-1182. DOI: https://doi.org/10.1037/0022-3514.51.6.1173
Behe, B. K., Campbell, B. L., Khachatrayn, H., Hall, C. R., Dennis, J. H., Huddleston, P. T., and Fernandez, R. (2014). Incorporating eye tracking technology and conjoint analysis to better understand the green industry consumer. HortScience 49(12), 1550-1557. DOI: https://doi.org/10.21273/HORTSCI.49.12.1550
Behe, B. K. and Fry, J. (2019). How do Plant Guarantees Reduce Consumer Risk Perceptions? Journal of Risk Research, 1-17.
Behe, B. K., Huddleston, P. T., Hall, C. R., Khachatryan, H., and Campbell, B. (2017). Do real and fictitious plant brands differ in brand recognition, awareness, purchase intention, and visual activity? HortScience 52(4), 612-621. DOI: https://doi.org/10.21273/HORTSCI11538-16
Behe, B. K., Fernandez, R. T., Huddleston, P. T., Minahan, S., Getter, K. L., Sage, L., and Jones, A. M. (2013). Practical field use of eye-tracking devices for consumer research in the retail environment. HortTechnology 23(4), 517-524. DOI: https://doi.org/10.21273/HORTTECH.23.4.517
Berlyne, D. E. (1974). Studies in the new experimental aesthetics. Washington, DC: Hemisphere.
Butterfield, B. and Baldwin, I. (2015). National Gardening Survey. Williston, VT: National Gardening Association.
Chandon, P., Hutchinson, J. W., Bradlow, E. T., and Young, S. H. (2009). Does in-store marketing work? Effects of the number and position of shelf facings on brand attention and evaluation at the point of purchase. Journal of Marketing 73(6), 1-17. DOI: https://doi.org/10.1509/jmkg.73.6.1
Chassy, P., Lindell, T. A. E., Jones, J. A., and Paramei, G. V. (2015). A relationship between visual complexity and aesthetic appraisal of car front images: An eye-tracker study. Perception 44(8-9), 1085–1097. DOI: https://doi.org/10.1177/0301006615596882
Clement, J., Kristensen, T., and Grønhaug, K. (2013). Understanding consumers’ in-store visual perception: The influence of package design features on visual attention. Journal of Retailing and Consumer Services 20(2), 234-239. DOI: https://doi.org/10.1016/j.jretconser.2013.01.003
Corbetta, M. and Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews in Neuroscience 3(3), 201-215. DOI: https://doi.org/10.1038/nrn755
Dellaert, B. G. and Stremersch, S. (2005). Marketing mass-customized products: Striking a balance between utility and complexity. Journal of Marketing Research 42(2), 219-227. DOI: https://doi.org/10.1509/jmkr.42.2.219.62293
Donderi, D. C. (2006). Visual complexity: A review. Psychological Bulletin 132(1), 73-97. DOI: https://doi.org/10.1037/0033-2909.132.1.73
Eytam, E., Tractinsky, N., and Lowengart, O. (2017). The paradox of simplicity: Effects of role on the preference and choice of product visual simplicity level. International Journal of Human-Computer Studies 105, 43-55. DOI: https://doi.org/10.1016/j.ijhcs.2017.04.001
Geissler, G. L., Zinkhan, G. M., and Watson, R. T. (2006). The influence of home page complexity on consumer attention, attitudes, and purchase intent. Journal of Advertising 35(2), 69-80. DOI: https://doi.org/10.1080/00913367.2006.10639232
Gilbert, D. T., Krull, D. S., and Pelham, B. W. (1988). Of thoughts unspoken: Social inference and the self-regulation of behavior. Journal of Personality and Social Psychology 55(5), 685. DOI: https://doi.org/10.1037/0022-3514.55.5.685
Glaholt, M. G. and Reingold, E. M. (2009). The time course of gaze bias in visual decision tasks. Visual Cognition 17(8), 1228-1243. DOI: https://doi.org/10.1080/13506280802362962
Goodman, J. K. and Irmak, C. (2013). Having versus consuming: failure to estimate usage frequency makes consumers prefer multi-feature products. Journal of Marketing Research 50(1), 44-54. DOI: https://doi.org/10.1509/jmr.10.0396
Hall, C. and Knuth, M. (2019a). An update of the literature supporting the well-being benefits of plants: A review of the emotional and mental health benefits of plants. Journal of Environmental Horticulture 37(1), 30-38.
Hall, C. and Knuth, M. (2019b). An update of the literature supporting the well-being benefits of plants: Part 2 Psychological health benefits. Journal of Environmental Horticulture 37 (June), 63-73.
Hall, C. and Knuth, M. (2019c). An Update of the Literature Supporting the Well-Being Benefits of Plants: Part 3-Social Benefits. Journal of Environmental Horticulture 37(4), 136-142.
Hausman, A. (2000). A multi-method investigation of consumer motivations in impulse buying behavior. Journal of Consumer Marketing 17(5), 403-426. DOI: https://doi.org/10.1108/07363760010341045
Hepworth, R., Mogg, K., Brignell, C., and Bradley, B. (2010). Negative mood increases selective attention to food cues and subjective appetite. Appetite 54(1), 134-142. DOI: https://doi.org/10.1016/j.appet.2009.09.019
Huddleston, P. T., Behe, B. K., Driesener, C., and Minahan, S. (2018). Inside-out: Using eye-tracking to investigate search-choice in the retail environment. Journal of Retailing and Consumer Services 43, 85-93. DOI: https://doi.org/10.1016/j.jretconser.2018.03.006
Huddleston, P. T., Behe, B. K., Minahan., S. M., and Fernandez, R. T. (2015). Seeking Attention: A study of in-store merchandise displays using eye-tracking. International Journal of Retail and Distribution Management 43(6), 561-574. DOI: https://doi.org/10.1108/IJRDM-06-2013-0120
Iyengar, S. S. and Lepper, M. R. (2000). When choice is demotivating: Can one desire too much of a good thing? Journal of Personality and Social Psychology 79(6), 995-1006. DOI: https://doi.org/10.1037/0022-3514.79.6.995
Janiszewski, C. and Meyvis, T. (2001). Effects of brand logo complexity, repetition, and spacing on processing fluency and judgment. Journal of Consumer Research 28(1), 18-32. DOI: https://doi.org/10.1086/321945
Juster, F. T. (1966). Consumer buying intentions and purchase probability: An experiment in survey design. Journal of the American Statistical Association 61(315), 658-696. DOI: https://doi.org/10.1080/01621459.1966.10480897
Kellaris, J. J. and Machleit, K. A. (2016). Signage as marketing communication: a conceptual model and research propositions. Interdisciplinary Journal of Signage and Wayfinding 1(1), 1-17. DOI: https://doi.org/10.15763/issn.2470-9670.2016.v1.i1.a4
Krajbich, I., Armel, C., and Rangel, A. (2010). Visual fixations and the computation and comparison of value in simple choice. Nature Neuroscience 13(10), 1292. DOI: https://doi.org/10.1038/nn.2635
Lavie, N. (2000). Selective attention and cognitive control: Dissociating attentional functions through different types of load. Attention Performance XVIII, 175-194.
Lindgaard, G., Fernandes, G., Dudek, C., and Brown, J. (2006). Attention web designers: you have 50 milliseconds to make a good first impression! Behavioral Information Technology 25(2), 115-126. DOI: https://doi.org/10.1080/01449290500330448
Maughan, L., Gutnikov, S. and Stevens, R. (2007) Like more, look more. Look more, like more: The evidence from eye-tracking. Journal of Brand Management 14, 335–342. DOI: https://doi.org/10.1057/palgrave.bm.2550074
Milosavljevic, M., Navalpakkam, V., Koch, C., and Rangel, A. J. (2012). Relative visual saliency differences induce sizable bias in consumer choice. Journal of Consumer Psychology 22(1), 67-74. DOI: https://doi.org/10.1016/j.jcps.2011.10.002
Mollerup, P. (2015). Simplicity: A Matter of Design. Amsterdam: BIS.
Morrison, B. J., and Dainoff, M. J. (1972). Advertisement complexity and looking time. Journal of marketing research 9(4), 396-400. DOI: https://doi.org/10.1177/002224377200900406
Mundel, J., Behe, B. K., and Huddleston, P.T. (2018). An eye tracking study of minimally branded products: Hedonism and branding as predictors of purchase intention. Journal of Product and Brand Management 27(2), 146-157. DOI: https://doi.org/10.1108/JPBM-07-2016-1282
Orquin, J. L. and Loose, S. M. (2013). Attention and choice: A review on eye movements in decision making. Acta Psychologica 144(1), 190-206. DOI: https://doi.org/10.1016/j.actpsy.2013.06.003
Orth, U. R. and Crouch, R. C. (2014). Is beauty in the aisles of the retailer? Package processing in visually complex contexts. Journal of Retailing 90(4), 524-537. DOI: https://doi.org/10.1016/j.jretai.2014.05.004
Orth, U. R. and 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. DOI: https://doi.org/10.1177/1094670514529606
Orth, U. R., Wirtz, J. and McKinney, A. (2016). Shopping experiences in visually complex environments: a self-regulation account. Journal of Service Management 27(2), 194-217. DOI: https://doi.org/10.1108/JOSM-10-2014-0268
Peskin, M. and Newell, F. N. (2004). Familiarity breeds attraction: Effects of exposure on the attractiveness of typical and distinctive faces. Perception 33(2), 147-157. DOI: https://doi.org/10.1068/p5028
Pieters, R., Wedel, M., and Batra, R. (2010). The stopping power of advertising: Measures and effects of visual complexity. Journal of Marketing 74(5), 48-60. DOI: https://doi.org/10.1509/jmkg.74.5.048
Puškarevi?, I., Nedeljkovi?, U., Dimovski, V., and Možina, K. (2016). An eye tracking study of attention to print advertisements: Effects of typeface figuration. Journal of Eye Movement Research 9(5), 1-18.
Putrevu, S., Tan, J., and Lord, K. R. (2004). Consumer responses to complex advertisements: The moderating role of need for cognition, knowledge, and gender. Journal of Current Issues and Research in Advertising 26(1), 9-24. DOI: https://doi.org/10.1080/10641734.2004.10505153
Rayner, K. (2009). Eye movements and attention in reading, scene perception, and visual search. The Quarterly Journal of Experimental Psychology 62(8), 1457-1506. DOI: https://doi.org/10.1080/17470210902816461
Reber, R., Schwarz, N., and Winkielman, P. (2004). Processing fluency and aesthetic pleasure: Is beauty in the perceiver’s processing experience? Personality and Social Psychology Review 8(4), 364-382. DOI: https://doi.org/10.1207/s15327957pspr0804_3
Reber, R., Wurtz, P., and Zimmermann, T.D. (2004). Exploring “fringe” consciousness: The subjective experience of perceptual fluency and its objective bases. Consciousness and Cognition 13(1), 47-60. DOI: https://doi.org/10.1016/S1053-8100(03)00049-7
Schwartz, R. N., Milne, C., Homer, B. D., and Plass, J. L. (2013). Designing and implementing effective animations and simulations for chemistry learning. In: Pedagogic Roles of Animations Simulations in Chemistry Courses, eds J. Suits and M. Sanger. Washington, DC: American Chemical Society.
Schwarz, N. (2004). Metacognitive experiences in consumer judgment and decision making. Journal of Consumer Psychology 14(4), 332-348. DOI: https://doi.org/10.1207/s15327663jcp1404_2
Shuptrine, F. K. and McVicker, D. D. (1981). Readability levels of magazine ads. Journal of Advertising Research 21(5), 45-51.
Tang, M. (2020). Analysis of signage using eye-tracking technology. Interdisciplinary Journal of Signage and Wayfinding 4(1), 61-72. DOI: https://doi.org/10.15763/issn.2470-9670.2020.v4.i1.a56
Thompson, D. V., Hamilton, R. W., and Rust, R. T. (2005). Feature fatigue: When product capabilities become too much of a good thing. Journal of Marketing Research 42(4), 431-442. DOI: https://doi.org/10.1509/jmkr.2005.42.4.431
Tractinsky, N., Cokhavi, A., Kirschenbaum, M., and Sharfi, T. J. (2006). Evaluating the consistency of immediate aesthetic perceptions of web pages. International Journal of Human-Computer Studies 64(11), 1071-1083. DOI: https://doi.org/10.1016/j.ijhcs.2006.06.009
Tuch, A. N., Bargas-Avila, J. A., Opwis, K., and Wilhelm, F. H. (2009). Visual complexity of websites: Effects on users’ experience, physiology, performance, and memory. International Journal of Human-Computer Studies 67(9), 703-715. DOI: https://doi.org/10.1016/j.ijhcs.2009.04.002
van der Laan, L. N., Hooge, I. T., De Ridder, D. T., Viergever, M. A., and Smeets, P. A. (2015). Do you like what you see? The role of first fixation and total fixation duration in consumer choice. Food Quality and Preference 39, 46-55. DOI: https://doi.org/10.1016/j.foodqual.2014.06.015
Vu, T. M. H., Tu, V. P., and Duerrschmid, K. (2016). Design factors influence consumers’ gazing behaviour and decision time in an eye-tracking test: A study on food images. Food Quality and Preference 47, 130-138. DOI: https://doi.org/10.1016/j.foodqual.2015.05.008
Wang, Q., Sang, S., Liu, M., Cao, Z., and Ma, Q. (2014). An eye-tracking study of website complexity from cognitive load perspective. Decision Science 62, 1-10. DOI: https://doi.org/10.1016/j.dss.2014.02.007
Wedel, M. and Pieters, R. (2008). Eye tracking for visual marketing. Foundations and Trends in Marketing 1(4), 231-320. DOI: https://doi.org/10.1561/1700000011
Werthmann, J., Roefs, A., Nederkoorn, C., and Jansen, A. J. (2013). Desire lies in the eyes: attention bias for chocolate is related to craving and self-endorsed eating permission. Appetite 70, 81-89. DOI: https://doi.org/10.1016/j.appet.2013.06.087