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A Study on the Prioritization of UI Design Factors for Age-Friendly Apps Using the Analytic Hierarchy Process (AHP): A Case Study of Payment Apps

Author(s)

Zitao Cheng*

Affiliation(s)

School of Art, Shandong University of Science and Technology, Qingdao, China *Corresponding Author

Abstract

The acceleration of digital transformation has brought frequent difficulties to the elderly in scenes such as online booking and mobile payment. Most existing mobile app interfaces give priority to efficiency, ignoring the physiological characteristics of the elderly's decreased visual and cognitive abilities. In order to solve the problem of insufficient resource allocation in age-friendly interface design, this study combines a literature review and AHP to assign weights to UI design factors. The results show that the visual perception layer is the most weighted (32.85%), followed by the operation interaction layer (27.01%), which shows that the elderly users are highly dependent on the source size, touch access point and fault-tolerant mechanism. In addition, too deep an information architecture is an important source of cognitive fatigue. Based on these results, this study puts forward optimization strategies, including implementing high contrast standards, reducing the page to three levels or less, and increasing voice assistance to offset the physiological pressure of the elderly. The model provides a quantifiable and operational decision-making path for designers, which shows that accurate modification based on weight distribution is better than a simple superposition function. Future research can integrate artificial intelligence technology to realize dynamic adjustment of UI, so as to provide more accurate and adaptive design solutions for elderly users.

Keywords

Analytic Hierarchy Process (AHP); Age-Friendly Design; Mobile App UI; Priority Research; Digital Divide

References

[1]Li X, Wang X, Li G. Aging-Friendly Design Research: Knowledge Graph Construction for Elderly Advantage Applications. Applied Sciences, 2025, 15(5):2848. [2]Ji H, Yu Y Y. A Fuzzy Comprehensive Evaluation Study on the Performance of Age-Friendly Digital Retrofit Based on User Experience: Take the “Elder Mode” App as an Example. Mathematical Problems in Engineering, 2022,5926081,13 pages. [3]Lachgar M, Abdelmounaim A, Hanoune M. Decision Framework for Cross-Platform Mobile Development Frameworks Using an Integrated Multi-Criteria Decision-Making Methodology. International Journal of Mobile Computing and Multimedia Communications, 2022, 13(1), 1-22. [4]Zhang S N, Song J S. An empirical investigation into the preferences of the elderly for user interface design in personal electronic health record systems. Frontiers in Digital Health, 2024, 5: 1289904. [5]Bai L, C C Wang. Elderly-Centric Chromatics: Unraveling the Color Preferences and Visual Needs of the Elderly in Smart APP Interfaces. International Journal of Human-Computer Interaction, 2025, 41(5):3527–3536. [6]Q C Li, Yan L M. The effects of 3D interface metaphor on older adults' mobile navigation performance and subjective evaluation. International Journal of Industrial Ergonomics, 2019, 72:35–44. [7]Qin G, Jia Z, Eds. Human Aspects of IT for the Aged Population. Design, Interaction and Technology Acceptance: 8th International Conference, ITAP 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26–July 1, 2022, Proceedings, Part I. Springer Nature, 2022. [8]Zhou C, Dai Y, Huang T, Zhao H, Kaner J. An Empirical Study on the Influence of Smart Home Interface Design on the Interaction Performance of the Elderly. International Journal of Environmental Research and Public Health, 2022, 19(15):9105. [9]Wu Q, Huang L, Zong J. User Interface Characteristics Influencing Medical Self-Service Terminals Behavioral Intention and Acceptance by Chinese Elderly: An Empirical Examination Based on an Extended UTAUT Model. Sustainability 2023, 15(19):14252. [10]Schütte S.T.W, Eklund J, Axelsson J.R.C, Nagamachi M. Concepts, Methods and Tools in Kansei Engineering. Theoretical issues in ergonomics science. 2004, 5(3): 214–231. [11]Saaty T.L., Vargas L.G. Estimating Technological Coefficients by the Analytic Hierarchy Process. Socio-Economic Planning Sciences, 1979, 13(6):333-336.