Simple or complex? Consumer response to display signs

Main Article Content

Melinda Knuth
Bridget K. Behe
Patricia T. Huddleston

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

Section
Articles

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