JERAJournal of Electronic Research and Application2208-35022208-3510Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jera.v9i6.13196ArticleA Study on the Design of Elderly-Following Monitoring Robots Based on AHPhttps://artdesignp.com/journal/JERA/9/6/10.26689/jera.v9i6.13196WeiXiaorong,CaoJiayu,YangAihui2025962025-12-16This study constructs a design model for elderly-following monitoring robots based on the Analytic Hierarchy Process (AHP), establishing four evaluation dimensions: functional adaptability, interaction usability, environmental adaptability, and safety reliability. Design priorities were determined through expert scoring and weight analysis, followed by practical optimization of structure and interaction. Results indicated that this approach can effectively enhance the scientific rigor of robot design and improve user satisfaction, providing a feasible solution for the design of intelligent elderly-care products.

Ge Z, 2023, Research Progress on Digital Health Management for the Elderly. Chinese Journal of Life Sciences, 35(8): 1234–1245.

Fan J, Tian F, Du Y, et al. 2018, Some Reflections on Human-Computer Interaction in the Era of Intelligence. Science China: Information Sciences, 48(4): 361–375.

Guo J, Zhang Z, Sun Q, 2008, Research and Application of the Analytic Hierarchy Process. Journal of China Safety Science, 2008(5): 148–153.

Saaty T, 1980. The Analytic Hierarchy Process, McGraw-Hill, New York.

Long J, 2023, Human-Computer Interaction Design Research of Meal-Assist Robots, thesis, Harbin Engineering University.

Deng X, Li J, Zeng H, et al., 2012, Analysis and Application of Weight Calculation Methods in the Analytic Hierarchy Process. Mathematics in Practice and Theory, 42(7): 93–100.

Liu Y, Fan M, 2025, Intelligent Display Cabinet Design in Museums based on AHP and QFD. Design, 38(7): 6–10.

Li S, Hua M, Jia R, 2007, A New Model for Product Design: Interaction Design. Packaging Engineering, 2007(4): 90–92.

Shen F, 2024, Mobile Interface Design Research based on the Visual Cognitive Characteristics of Elderly Users. Design, 9(1): 815-823.

Mao T, Liu J, Zhao Q, 2024, Prioritization of Elderly-Friendly Modifications in Medical and Health Apps from the Perspective of User Needs. Modern Information, 44(4): 85–96.

Wirzberger M, Schmidt R, Georgi M, et al., 2019, Effect of System Response Delays on Elderly Humans’ Cognitive Performance. Journal of Human-Computer Interaction, 35(3): 234-245.

Liu J, Zhang H, Wang Y, 2021, Latency-Aware Automatic CNN Channel Pruning with GPU. IEE Transactions on Neural Networks and Learning Systems, 32(6): 2345–2357.