Abstract
In the family of Alzheimer's patients, "companionship" is the most important daily behavior. The work aims to explore the application of KANO model and AHP analytic hierarchy process in service design, so as to realize the innovative design of family companion robots and service systems for Alzheimer's disease. The research status of intelligent companion products and service systems was comprehensively analyzed, and the needs were preliminarily explored through literature analysis, focus interviews, questionnaires and other methods; The KANO model was used to analyze the characteristics of user needs, and the AHP analytic hierarchy process was used to calculate the weight value of user needs and rank the importance. Based on these analyses, the design practice of family service system for patients with Alzheimer's disease was completed through system function analysis, interface design and monitoring robot design. The KANO model identified 10 need indicators in three categories:necessary, expected and attractive. The weight priority order of the first-level indicators calculated by the AHP method was psychological care, health management, and social interaction. Further analysis on the secondary indicators found that the user needs in terms of emotional management, psychological counseling, diagnosis and treatment recommendations, and decompression activities had a higher weight. In conclusion, by innovatively applying the research method of KANO-AHP to the design of Alzheimer's family service system, the design principles of empathy, practicality and customization are put forward. These principles make the design of products and systems more scientific and reasonable, help to improve user satisfaction, and provide new methods and ideas for related design research.
Key words
KANO model; analytic hierarchy process; Alzheimer's Disease; service system
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YAN Shengzan, LI Yinan, MA Yun, MA Ning.
Design of Alzheimer's Disease Family Service System Based on KANO-AHP[J]. Packaging Engineering. 2025, 46(6): 74-83 https://doi.org/10.19554/j.cnki.1001-3563.2025.06.007
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