An OuyangThis email address is being protected from spambots. You need JavaScript enabled to view it.
School of Art Design, Harbin University of Commerce, Harbin, Heilongjiang, 150076, China
Received: September 7, 2025 Accepted: November 6, 2025 Publication Date: February 1, 2026
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
In today’s highly competitive market, consumer decisions are increasingly shaped by evolving preferences and the rapid recognition of brands. To meet these demands, this study proposed an innovative approach that integrates visual attention analysis with advanced optimization algorithms to enhance packaging efficiency and consumer engagement. A comprehensive packaging visual attention and engagement dataset was developed, encompassing design attributes, attention metrics, emotional responses, engagement measures, and performance indicators. During preprocessing, all package images were resized and normalized to ensure uniformity. Convolutional Neural Networks (CNNs) were employed for feature extraction, enabling the identification of critical design elements such as layout, color palette, typography, and branding components. To further improve design optimization, the U-Net Driven Multi-Objective Cuckoo Search Tuned Efficient Fire Hawk Optimizer (UN-MOCS-EFHO) approach was implemented. This method combined the strengths of U-Net for segmentation, MOCS for multi-objective optimization, and EFHO for efficient convergence. Visual saliency was defined as the ability of specific design elements-such as color, contrast, or layout harmony-to capture consumer attention, while emotional resonance referred to how design structure influenced consumer perception and brand recall. By jointly modeling these factors, the proposed method optimized layout parameters and aesthetic features to achieve maximum consumer appeal. Experimental results demonstrated that the UN-MOCS-EFHO model outperformed other approaches, achieving superior performance with 99.995% accuracy, 98.5% precision, 97.4% recall, and 98.8% F1-score. This research established a data-driven, intelligent design framework that leverages algorithmic modeling to create personalized, visually engaging, and emotionally resonant packaging aligned with contemporary market trends.
[1] L. Riswanto, S. Kim, A. Williady, Y.Ha,andH.S.Kim, (2025)“Howvisual design in dairy packaging affects consumer attention and decision making " Dairy6(1): 4. DOI: 10.3390/dairy6010004.
[2] H. N. Schifferstein, M. Lemke, and A. de Boer, (2022) “An exploratory study using graphic design to communicate consumer benefits on food packaging" Food Quality and Preference 97: 104458. DOI: 10.1016/j.foodqual.2021.104458.
[3] P. Srivastava, D. Ramakanth, K. Akhila, and K. K. Gaikwad, (2022) “Package design as a branding tool in the cosmetic industry: consumers’ perception vs. reality" SN Business Economics 2(6): 58. DOI: 10.1007/ s43546-022-00222-5.
[4] L. Hallez, H. Vansteenbeeck, F. Boen, and T. Smits, (2023) “Persuasive packaging? The impact of packaging color and claims on young consumers’ perceptions of product healthiness, sustainability, and tastiness" Appetite 182: 106433. DOI: 10.1016/j.appet.2022.106433.
[5] P. Shukla, J. Singh, and W.Wang,(2022)“Theinfluence of creative packaging design on customer motivation to process and purchase decisions" Journal of Business Research 147: 338–347. DOI: 10.1016/j.jbusres.2022.04.026.
[6] F. Boncinelli, F. Gerini, G. Piracci, R. Bellia, and L. Casini, (2023) “Effect of executional greenwashing on market share of food products: An empirical study on green-coloured packaging" Journal of Cleaner Production 391: 136258. DOI: 10.1016/j.jclepro.2023.136258.
[7] G. Branca, R. Resciniti, and S. M. C. Loureiro, (2023) “Virtual is so real! Consumers’ evaluation of product pack aging in virtual reality" Psychology Marketing 40(3): 596–609. DOI: 10.1002/mar.21743.
[8] M.Bou-Mitri,H.Abdessater,H.Zgheib,andZ.Akiki, (2021) “Food packaging design and consumer perception of the product quality, safety, healthiness, and preference" Nutrition Food Science 51(1): 71–86. DOI: 10.1108/NFS-02-2020-0039.
[9] C. Spence and G. Van Doorn, (2022) “Visual communication via the design of food and beverage packaging" Cognitive Research: Principles and Implications 7(1): 42. DOI: 10.1186/s41235-022-00391-9.
[10] J. Yu, O. Droulers, and S. Lacoste-Badie, (2022) “Why display motion on packaging? The effect of implied motion on consumer behavior" Journal of Retailing and Con sumer Services 64: 102840. DOI: 10.1016/j.jretconser. 2021.102840.
[11] A. Lavdas, N. A. Salingaros, and A. Sussman, (2021) “Visual attention software: A new tool for understanding the ‘subliminal’ experience of the built environment" Applied Sciences 11(13): 6197. DOI: 10.3390/app11136197.
[12] N. Kim and H. Lee, (2021) “Assessing consumer attention and arousal using eye-tracking technology in a virtual retail environment" Frontiers in Psychology 12: 665658. DOI: 10.3389/fpsyg.2021.665658.
[13] H. Wang, M. A. A. Ab Gani, and C. Liu, (2023) “Impact of snack food packaging design characteristics on consumer purchase decisions" Sage Open 13(2): 21582440231167109. DOI: 10.1177/21582440231167109.
[14] G. Ares, A. L. Velázquez, L. Vidal, M. R. Curutchet, and P. Varela, (2022) “The role of food packaging on children’s diet: Insights for the design of comprehensive regulations to encourage healthier eating habits in child hood and beyond" Food Quality and Preference 95: 104366. DOI: 10.1016/j.foodqual.2021.104366.
[15] S.JiandP.S.Lin,(2022)“Aesthetics of sustainability: Re search on the design strategies for emotionally durable visual communication design" Sustainability 14(8): 4649. DOI: 10.3390/su14084649.
[16] R. Chitturi, J. C. Londoño, and M. C. Henriquez, (2022) “Visual design elements of product packaging: Implications for consumers’ emotions, perceptions of quality, and price" Color Research Application 47(3): 729–744. DOI: 10.1002/col.22761.
[17] F. Boccia, L. Alvino, and D. Covino, (2024) “This is not my jam: An Italian choice experiment on the influence of typical product attributes on consumers’ willingness to pay" Nutrition Food Science 54(1): 13–32. DOI: 10.1108/NFS-04-2023-0076.
[18] S. Kakadellis, J. Woods, and Z. M. Harris, (2021) “Friend or foe: Stakeholder attitudes towards biodegradable plastic packaging in food waste anaerobic digestion" Resources, Conservation and Recycling 169: 105529. DOI: 10.1016/j.resconrec.2021.105529.
[19] X. Zhao, Y. Wang, X. Chen, X. Yu, W. Li, S. Zhang, Z. M. Zhao, T. Dong, A. Anderson, and A. Aiyedun, (2023) “Sustainable bioplastics derived from renewable natural resources for food packaging" Matter 6(1): 97 127. DOI: 10.1016/j.matt.2022.11.006.
[20] S. K. Yang, W. J. Chung, and F. Yang, (2024) “Analyzing the packaging design evaluation based on image emotion perception computing" Heliyon 10(10): DOI: 10.1016/j.heliyon.2024.e31408.
[21] W. Wen, (2022) “Research on modern book packaging design based on aesthetic evaluation using a deep learning model" Scientific Programming 2022(1): 8329745. DOI: 10.1155/2022/8329745.
[22] M.Zhang,J.Han,J.Jia,andC.Kim,(2024)“Packaging design image segmentation based on improved full convolutional networks" Applied Sciences 14(22): 10742. DOI: 10.3390/app142210742.
[23] L. Kumar, R. Dutt, and K. K. Gaikwad, (2025) “Pack aging 4.0: Artificial intelligence and machine learning applications in the food packaging industry" Current Food Science and Technology Reports 3(1): 19. DOI: 10.1007/s43555-025-00064-w.
[24] M. A. Moreno-Armendáriz, H. Calvo, J. Faustinos, and C. A. Duchanoy, (2023) “Personalized advertising design based on automatic analysis of an individual’s appearance" Applied Sciences 13(17): 9765. DOI: 10.3390/app13179765.
[25] J. Wang, (2023) “Packaging style design based on visual semantic segmentation technology and an intelligent cyber-physical system" Peer J Computer Science 9: e1451. DOI: 10.7717/peerj-cs.1451.
[26] Z. Shi, Z. Song, and C. Huang, (2025) “Deep learning based approach to evaluate the quality of corporate brand packaging visual design" International Journal of High-Speed Electronics and Systems: 2540345. DOI: 10.1142/S0129156425403456.
[27] D. ZhuandG.Liu, (2022) “Deep neural network model assisted reconstruction and optimization of Chinese char acters in product packaging graphic patterns and visual styling design" Scientific Programming 2022(1): 1219802. DOI: 10.1155/2022/1219802.
[28] D. K. R. Basani, (2021) “Leveraging robotic process automation and business analytics in digital transformation: Insights from machine learning and AI" International Journal of Engineering Research and Science Technology 17(3): 115–133.
[29] V. Fernández-Carbajales, M. Á. García, and J. M. Martínez, (2016) “Visual attention based on a joint perceptual space of color and brightness for improved video tracking" Pattern Recognition 60: 571–584.
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