Age-friendly Interaction Mechanisms and Interface Design of Mobile Travel APPs Based on the CLT-TAM Model

HU Bingkun, ZHAO Yiqian

Industrial & Engineering Design ›› 2026, Vol. 8 ›› Issue (3) : 126-135.

PDF(7658 KB)
PDF(7658 KB)
Industrial & Engineering Design ›› 2026, Vol. 8 ›› Issue (3) : 126-135. DOI: 10.19798/j.cnki.2096-6946.2026.03.012
Design Innovation and Application

Age-friendly Interaction Mechanisms and Interface Design of Mobile Travel APPs Based on the CLT-TAM Model

  • HU Bingkun1, ZHAO Yiqian2,*
Author information +
History +

Abstract

With the growing demand for and reliance on intelligent travel APPs among elderly users, existing travel APPs generally lack age-friendly design, featuring complex interaction processes and redundant interface elements, increasing the cognitive load of elderly users during use and reducing their usage intention. Therefore, focusing on the cognitive and behavioral mechanisms of elderly users when using travel APPs, the work aims to propose age-friendly interface design strategies. Based on the Cognitive Load Theory (CLT) and the Technology Acceptance Model (TAM), intrinsic, extraneous, and germane cognitive loads are taken as latent variables to construct a model of factors influencing elderly users' usage intention of travel APPs. The causal relationships and mediating effects among variables are tested, and Partial Least Squares Structural Equation Modeling (PLS-SEM) is adopted for empirical verification. The results show that extraneous cognitive load has a significantly negative impact on perceived ease of use, intrinsic cognitive load exerts a significantly negative effect on perceived usefulness, and germane cognitive load has a significantly positive influence on perceived usefulness. Among all factors, perceived ease of use has the most prominent impact on elderly users' usage intention. Specific strategies such as reducing redundant interface information and menu levels, strengthening text prompts and voice interaction, and improving interface visual clarity and operational consistency can effectively reduce the cognitive load of elderly users and enhance their usage intention. This work provides theoretical support and practical guidance for the age-friendly design of mobile travel APPs in the context of an aging society.

Key words

mobile APPs / Cognitive Load Theory (CLT) / Technology Acceptance Model (TAM) / Structural Equation Modeling (SEM) / age-friendly design / interface optimization design

Cite this article

Download Citations
HU Bingkun, ZHAO Yiqian. Age-friendly Interaction Mechanisms and Interface Design of Mobile Travel APPs Based on the CLT-TAM Model[J]. Industrial & Engineering Design. 2026, 8(3): 126-135 https://doi.org/10.19798/j.cnki.2096-6946.2026.03.012

References

[1] 联合国:世界人口将在本世纪80年代中期达峰[N]. 人民日报,2024-07-15(18).
[2] 王杰秀,安超.全球老龄化:事实、影响与政策因应[J].社会保障评论,2018,2(4):14-30.
[3] WEI W.Population Aging[M]// Dictionary of Contemporary Chinese Economics. Singapore:Springer Nature Singapore,2025:525-529.
[4] LUCERO-PRISNO III D E,KOUWENHOVEN M B N,VICERRA P M M,et al. The Challenges of the Low Birth Rate in China[J]. Public Health Challenges,2022,1(2):e8.
[5] KEELER L W,BERNSTEIN M J.The Future of Aging in Smart Environments:Four Scenarios of the United States in 2050[J]. Futures,2021,133:102830.
[6] 万雪君,李永锋. 基于QFD和SEM的老年人慕课交互设计研究[J]. 工业工程设计,2024,6(5):102-112.
[7] 韦页,李佳颖,董占勋. 智慧厨电产品适老化包容性交互设计案例研究[J]. 工业工程设计,2023,5(2):37-44.
[8] 汪颖,黄利媛,董春阳. 基于关怀理论的适老化产品设计研究[J]. 工业工程设计,2023,5(4):73-82.
[9] KIM K,PARK S Y,KANG H C.Smartphone Proficiency and Use,Loneliness,and Ego Integrity:An Examination of Older Adult Smartphone Users in South Korea[J]. Behaviour & Information Technology,2021,40(7):625-634.
[10] ELBOIM-GABYZON M,WEISS P L,DANIAL-SAAD A.Effect of Age on the Touchscreen Manipulation Ability of Community-Dwelling Adults[J]. International Journal of Environmental Research and Public Health,2021,18(4):2094.
[11] 谢淑丽,税玉婷. 基于行为特征的智能家居适老化设计方法研究[J]. 包装工程,2024,45(8):468-477.
[12] ZHANG Y W,WANG Y B,HU Y Z,et al.Design and Evaluation of a Tangible User Interface to Enhance Older Adults' Experience with Touchscreen Smartphones[J]. Universal Access in the Information Society,2025,24(4):3415-3430.
[13] LI B X,YANG T,LIU Y F,et al.Memory Load Differentially Influences Younger and Older Users' Learning Curve of Touchscreen Gestures[J]. Scientific Reports,2022,12:10814.
[14] BAHRAMPOOR GIVI S,GAGNON-ROY M,PIGOT H,et al.User Experience of Older Adults with an Age-Friendly Transportation Planning E-Tool:Scoping Review[J]. JMIR Human Factors,2025,12:e63273.
[15] AMOUZADEH E,DIANAT I,FARADMAL J,et al.Optimizing Mobile app Design for Older Adults:Systematic Review of Age-Friendly Design[J]. Aging Clinical and Experimental Research,2025,37(1):248.
[16] 丁凯. 论移动平台中用户界面的视觉层级设计[J]. 南京艺术学院学报(美术与设计版),2014(6):192-196.
[17] 宋焕然. 基于用户体验理论的智慧出行app适老化分析及改善设计[D]. 青岛:青岛理工大学,2024.
[18] 路鹏,姜怡楠. 基于视觉符号理论的APP交互界面适老化设计研究[J]. 包装工程,2023,44(12):189-197.
[19] DAVIS F D,BAGOZZI R P,WARSHAW P R.User Acceptance of Computer Technology:A Comparison of Two Theoretical Models[J]. Management Science,1989,35(8):982-1003.
[20] 刘卓,乔元杰,张凤雪. 基于STS-TAM融合模型的老年智能助行器使用意愿影响因素研究[J]. 包装工程,2025,46(6):47-54.
[21] SWELLER J.Cognitive Load During Problem Solving:Effects on Learning[J]. Cognitive Science,1988,12(2):257-285.
[22] PAAS F,RENKL A,SWELLER J.Cognitive Load Theory and Instructional Design:Recent Developments[J]. Educational Psychologist,2003,38(1):1-4.
[23] ZHANG S, ZHAO L, LU Y, et al.Do You Get Tired of Socializing? An Empirical Explanation of Discontinuous Usage Behaviour in Social Network Services[J]. Information & management, 2016, 53(7): 904-914.
[24] KALYUGA S, HANHAM J.Instructing in Generalized Knowledge Structures to Develop Flexible Problem Solving Skills[J]. Computers in Human Behavior, 2011, 27(1): 63-68.
[25] LEPPINK J, PAAS F, VAN Gog T, et al.Effects of Pairs Of Problems and Examples on Task Performance and Different Types of Cognitive Load[J]. Learning and Instruction, 2014, 30: 32-42.
[26] Devaraj S, Fan M, Kohli R.Antecedents of B2C Channel Satisfaction and Preference: Validating E- Commerce Metrics[J]. Information systems research, 2002, 13(3): 316-333.
[27] SARSTEDT M,HAIR J F Jr,RINGLE C M. “PLS-SEM:Indeed a Silver Bullet” - Retrospective Observations and Recent Advances[J]. Journal of Marketing Theory and Practice,2023,31(3):261-275.
[28] HAIR J F Jr,MATTHEWS L M,MATTHEWS R L,et al. PLS-SEM or CB-SEM:Updated Guidelines on which Method to Use[J]. International Journal of Multivariate Data Analysis,2017,1(2):107.
[29] FORNELL C, LARCKER D F.Evaluating Structural Equation Models with Unobservable Variables and Measurement Error[J]. Journal of Marketing Research, 1981, 18(1): 39-50.
[30] 甄珍. 认知心理学视域下UI界面设计研究[J]. 科技创新与应用,2021,11(6):102-104.
[31] 戴劼君,刘苏文,李宪锋,等. 导诊app用户使用意愿及设计策略研究[J]. 包装工程,2025,46(6):98-107.
[32] KWOK D,YANG S L.Evaluating the Intention to Use ICT Collaborative Tools in a Social Constructivist Environment[J]. International Journal of Educational Technology in Higher Education,2017,14(1):32.
[33] BORSCI S,BUCKLE P,WALNE S.Is the LITE Version of the Usability Metric for User Experience (UMUX-LITE) a Reliable Tool to Support Rapid Assessment of New Healthcare Technology[J]. Applied Ergonomics,2020,84:103007.
PDF(7658 KB)

Accesses

Citation

Detail

Sections
Recommended

/