The Role of Visual Attention and Quality Cues in Consumer Purchase Decisions for Fresh and Cooked Beef: An Eye-Tracking Study
Source abstract
Abstract
This study analyzes Brazilian consumer behavior regarding quality and visual cues in fresh red meat and cooked beef. Using eye tracking to collect visual attention metrics and psychological scales to assess food behavior, the research examines how visual attention to beef attributes impacts product choice. A discrete choice method combined nine hypothetical products with varied attributes. Results showed that consumers display different visual behaviors toward cues, influencing their probability of choosing a product. For fresh beef, color was the most significant factor, especially bright red and brown hues. Color influenced both the time to first fixation and total fixation time, while breed also affected total fixation time. Dark-red color and unspecified breed information increased the purchase probability, while Nellore breed and brown color decreased it. Total fixation numbers were significantly impacted by color, breed, marbling, and price. In cooked beef, tenderness, price, and flavor were key visual cues. Tenderness and flavor influenced the time to first fixation, whereas price and flavor impacted the number of fixations. This research contributes to understanding visual cues and attention in food choices, suggesting strategies for enhancing beef labeling and communication to better inform Brazilian consumers.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Consumer Attitudes and Food Labeling · Color perception and design · Sensory Analysis and Statistical Methods
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Symrise, Descalvado 13690-000, SP, Brazil
Department Economics, Administration and Sociology (LES), Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba 13418-900, SP, Brazil
Department of Food Science and Technology, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba 13418-900, SP, Brazil
AgroProx, Avenida Limeira, Areião, Piracicaba 13414-018, SP, Brazil
Pecege Institute, Piracicaba 13414-157, SP, Brazil
Funding
São Paulo Research Foundation (FAPESP)
References (94)
Show source-provided references
1. Eye tracking como método de investigação aplicado às ciências da comunicação
2. The influence of visual attention on consumer choice in online grocery shopping: An eye-tracking study
3. Consumer preference, behavior and perception about meat and meat products: An overview10.1016/j.meatsci.2014.06.025 ↗
4. Physical and sensory characteristics of selected enhanced beef muscles
5. Consumer perception and the role of science in the meat industry10.1016/j.meatsci.2010.05.009 ↗
6. Biasing simple choices by manipulating relative visual attention10.1017/S1930297500000413 ↗
7. Relative visual saliency differences induce sizable bias in consumer choice10.1016/j.jcps.2011.10.002 ↗
8. Southeast Brazilian Consumers’ Involvement and Willingness to Pay for Quality Cues in Fresh and Cooked Beef10.1080/10454446.2022.2129539 ↗
9. The identification of viewing patterns of chocolate snack packages using eye-tracking techniques10.1016/j.foodqual.2014.08.002 ↗
10. Shifts in sensory dominance between various stages of user–product interactions10.1016/j.apergo.2009.03.007 ↗
11. Which front-of-pack nutrition label is the most efficient one? The results of an eye-tracker study10.1016/j.foodqual.2014.07.010 ↗
12. A systematic literature review on the usage of eye-tracking in understanding process models10.1108/BPMJ-05-2020-0207 ↗
13. From desktop to supermarket shelf: Eye-tracking exploration on consumer attention and choice10.1016/j.foodqual.2019.103839 ↗
14. Escaping the corner of death? An eye-tracking study of reading direction influence on attention and memory10.1108/JCM-02-2016-1710 ↗
15. Duchowski, A.T. (2007). Eye Tracking Methodology: Theory and Practice, Springer.
16. An eye tracking study of minimally branded products: Hedonism and branding as predictors of purchase intentions10.1108/JPBM-07-2016-1282 ↗
17. Mobile and stationary eye tracking comparison—Package design and in-store results10.1108/JCM-04-2019-3190 ↗
18. Self-esteem and visual attention in relation to congruent and non-congruent images: A study of the choice of organic and transgenic products using eye tracking10.1016/j.foodqual.2020.103938 ↗
19. Attention and behaviour on fashion retail websites: An eye-tracking study10.1108/ITP-08-2020-0580 ↗
20. Health body priming and food choice: An eye tracking study10.1016/j.foodqual.2018.10.006 ↗
21. Standing out in the crowd: The effect of information clutter on consumer attention for front-of-pack nutrition labels10.1016/j.foodpol.2013.04.010 ↗
22. Navalpakkam, V., Kumar, R., Li, L., and Sivakumar, D. (2012, January 16–20). Attention and selection in online choice tasks. Proceedings of the User Modeling, Adaptation, and Personalization: 20th International Conference, UMAP 2012, Montreal, QC, Canada.
23. Increasing consumers’ attention capture and food choice through bottom-up effects10.1016/j.appet.2018.09.015 ↗
24. An efficient methodology for assessing attention to and effect of nutrition information front of pack10.1016/j.foodqual.2011.03.010 ↗
25. Motivation determines Facebook viewing strategy: An eye movement analysis10.1016/j.chb.2015.11.029 ↗
26. A review of eye-tracking research in marketing10.1108/S1548-6435(2008)0000004009 ↗
27. Consumer Visual Processing of Food Labels: Results from an Eye-Tracking Study10.1111/joss.12031 ↗
28. The effect of fat content on visual attention and choice of red meat and differences across gender10.1016/j.foodqual.2016.03.017 ↗
29. Goal-Directed Visual Attention Drives Health Goal Priming: An Eye-Tracking Experiment10.1037/hea0000410 ↗
30. Eye movements in reading and information processing: 20 years of research10.1037/0033-2909.124.3.372 ↗
31. Eye movements and attention in reading, scene perception, and visual search10.1080/17470210902816461 ↗
32. The influence of banner position and user experience on recall. The mediating role of visual attention10.1108/SJME-04-2020-0050 ↗
33. Las etiquetas nutricionales: Una mirada desde el consumidor
34. O estudo do neuromarketing como ferramenta de percepção da reação dos consumidores
35. An eye-tracking investigation of internet consumers’ decision deliberateness10.1108/10662241111176362 ↗
36. Coexistence of high content of critical nutrients and claims in food products targeted at Brazilian children10.1590/1984-0462/2023/41/2021355 ↗
37. Brazilian food labeling: A new proposal and its impact on consumer understanding10.1590/fst.39518 ↗
38. Future and consumer lifestyles with regard to meat consumption10.1016/j.meatsci.2006.04.016 ↗
39. A review of visual cues associated with food on food acceptance and consumption10.1016/j.eatbeh.2013.11.003 ↗
40. The role of visual cues in consumer perception and acceptance of a food product10.1108/00346659910277650 ↗
41. Consumers use of quality cues for meat purchase: Research trends and future pathways10.1016/j.meatsci.2020.108142 ↗
42. An extended approach combining sensory and real choice experiments to examine new product attributes10.1016/j.foodqual.2019.103830 ↗
43. Smelling our appetite? The influence of food odors on congruent appetite, food preferences and intake10.1016/j.foodqual.2020.103959 ↗
44. Do demographic and beef eating preferences impact on South African consumers’ willingness to pay (WTP) for graded beef?10.1016/j.meatsci.2018.12.011 ↗
45. Food perception and emotion measured over time in-lab and in-home10.1016/j.foodqual.2019.02.019 ↗
46. Valuation of observable attributes in differentiated beef products in Chile using the hedonic price method10.1016/j.meatsci.2019.107881 ↗
47. How do human values influence the beef preferences of consumer segments regarding animal welfare and environmentally friendly production?10.1016/j.meatsci.2018.07.030 ↗
48. The role of product familiarity and consumer involvement on liking and perceptions of fresh meat
49. Beef quality labels: A combination of sensory acceptance test, stated willingness to pay, and choice-based conjoint analysis10.1016/j.appet.2018.05.008 ↗
50. Relationship between colourimetric (instrumental) evaluation and consumer-defined beef colour acceptability10.1016/j.meatsci.2016.05.002 ↗
51. Correlation of consumer assessment of longissimus dorsi beef palatability with image colour, marbling and surface texture features10.1016/j.meatsci.2009.10.013 ↗
52. Chonpracha, P., Ardoin, R., Gao, Y., Waimaleongora-ek, P., Tuuri, G., and Prinyawiwatkul, W. (2020). Effects of Intrinsic and Extrinsic Visual Cues on Consumer Emotion and Purchase Intent: A Case of Ready-to-Eat Salad. Foods, 9.10.3390/foods9040396 ↗
53. Beef consumption in Brazil: Consumer behavior and environmental considerations
54. (2005). Brasil. Instrução normativa nº 22, de 24 de novembro de 2005, Aprova o Regulamento Técnico Para Rotulagem de Produto de Origem Animal Embalado, seção 1.
55. Service quality in restaurant operations in China: Decision- and experiential-oriented perspectives10.1016/j.ijhm.2006.07.001 ↗
56. Vermeir, I., and Roose, G. (2020). Visual design cues impacting food choice: A review and future research agenda. Foods, 9.10.3390/foods9101495 ↗
57. Hallez, L., Qutteina, Y., Raedschelders, M., Boen, F., and Smits, T. (2020). That’s My Cue to Eat: A Systematic Review of the Persuasiveness of Front-of-Pack Cues on Food Packages for Children vs. Adults. Nutrients, 12.10.3390/nu12041062 ↗
58. Coucke, N., Vermeir, I., Slabbinck, H., and Kerckhove, A.V. (2019). Show Me More! The Influence of Visibility on Sustainable Food Choices. Foods, 8.10.3390/foods8060186 ↗
59. Fifty shades of food: The influence of package colour saturation on health and taste in consumer judgments10.1002/mar.21317 ↗
60. Food packaging cues as vehicles of healthy information: Visions of millennials (early adults and adolescents)10.1016/j.foodres.2019.01.051 ↗
61. Attentional bias to food-related visual cues: Is there a role in obesity?10.1017/S002966511400144X ↗
62. Dining in the dark. The importance of visual cues for food consumption and satiety10.1016/j.appet.2010.08.002 ↗
63. Visual influence on in-store buying decisions: An eye-track experiment on the visual influence of packaging design10.1362/026725707X250395 ↗
64. Understanding consumers’ in-store visual perception: The influence of package design features on visual attention10.1016/j.jretconser.2013.01.003 ↗
65. Attention capture and transfer in advertising: Brand, pictorial, and text-size effects10.1509/jmkg.68.2.36.27794 ↗
66. The impact of visual attention on value computation in goal-directed choice
67. Consumers’ willingness to pay for organic chicken breast: Evidence from choice experiment using eye tracking
68. (2025, April 23). CONEP—Conselho Nacional de Saúde. Resolução nº 510, Available online: http://conselho.saude.gov.br/resolucoes/2016/Reso510.pdf.
69. Hedonic and emotional responses after blind tasting are poor predictors of purchase behavior10.1016/j.foodqual.2017.05.015 ↗
70. Validation of eye-tracking measures of social attention as a potential biomarker for autism clinical trials10.1002/aur.1894 ↗
71. Stock, J.H., and Watson, M.W. (2004). Regressão com uma variável dependente binária. Econometria, Addison Wesley.
72. Hosmer, D.W., Lemeshow, S., and Sturdivant, R.X. (2013). Applied Logistic Regression, John Wiley & Sons. [3rd ed.].10.1002/9781118548387 ↗
73. Wooldridge, J. (2013). Limited Dependent Variable Models and Sample Selection Corrections. Introdutory Econometrics: A Modern Approach, Cengage Learning. [5th ed.].
74. Hair-Junior, J.F., Black, W.C., Babin, B.J., Anderson, R.E., and Tatham, R.L. (2009). Analise Multivariada de Dados, Bookman.
75. Modelos de decisão binários: Uma revisão
76. Gender specific preferences and attitudes towards meat10.1016/S0950-3293(02)00041-1 ↗
77. Influencing factors of consumer willingness to buy cattle meat: An analysis of survey data from three Brazilian cities10.4025/actascianimsci.v41i1.43871 ↗
78. Investigation of muscle-specific beef colour stability at different ultimate pHs. Asian-Australas
79. Influence of oxygen concentration on the fresh and internal cooked colour of modified atmosphere packaged dark-cutting beef stored under chilled and superchilled conditions10.1016/j.meatsci.2022.108773 ↗
80. Eye-tracking consumers’ awareness of beef brands10.1080/03031853.2020.1715807 ↗
81. Eye tracking and nutrition label use: A review of the literature and recommendations for label enhancement10.1016/j.foodpol.2012.03.004 ↗
82. Type of packaging affects the colour stability of vitamin E enriched beef10.1016/j.foodchem.2012.06.055 ↗
83. Microbiological, colour and sensory properties of fresh beef steaks in low carbon monoxide concentration10.1002/pts.902 ↗
84. Colour–taste correspondences: Designing food experiences to meet expectations or to surprise
85. Effects of packaging systems and fat concentrations on microbiology, sensory and physical properties of ground beef stored at 4 ± 1 °C for 25 days10.1016/j.meatsci.2014.02.014 ↗
86. The role of nutrition labels and advertising claims in altering consumers’ evaluation and choice10.1016/j.appet.2015.08.030 ↗
87. Production systems—An example from Brazil10.1016/j.meatsci.2009.06.006 ↗
88. How Australian consumers value intrinsic and extrinsic attributes of beef products10.1016/j.foodqual.2017.10.018 ↗
89. Physicochemical properties of meat from Bos taurus and Bos indicus10.1590/S1516-35982011000600013 ↗
90. An evaluation of tenderness of the longissimus muscle of Angus by Hereford versus Brahman crossbred heifers10.2527/1991.691171x ↗
91. Effect of marbling degree on beef palatability in Bos taurus and Bos indicus cattle10.2527/1994.72123145x ↗
92. Impact of product familiarity on beef quality perception10.1002/agr.21290 ↗
93. The role of health-related, motivational and sociodemographic aspects in predicting food label use: A comprehensive study10.1017/S136898001100156X ↗
94. Nutrition knowledge and use and understanding of nutrition information on food labels among consumers in the UK10.1016/j.appet.2010.05.045 ↗