Abstract
Analyze the user needs of smart health equipment for elderly osteoporosis communities, and study the impact of the form of elderly osteoporosis health information materials on information processing performance based on physiological experiments such as EEG and eye movement. By using literature analysis and semi-structured interviews, the original demand for smart health care equipment in elderly osteoporosis communities was identified. Combining survey questionnaires and Kano models, three demand dimensions for smart health care equipment in elderly communities were analyzed. Visualize health information in the dimensions of health education using theories such as visual selective attention and information visualization, and validate experimental hypotheses through physiological experiments such as eye movement. Based on the analysis of experimental results, it can be concluded that elderly people have different performance in processing osteoporosis health information in different material forms. Therefore, an innovative design direction is proposed for the smart health care equipment for elderly osteoporosis communities.
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This paper was funded by The National Social Fund of China under grant 22BSH122.
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Xue, Y., Shi, Y. (2024). A Study on Narrative Visualization of Health Information for Elderly Osteoporosis Guided by Health Needs. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2024 Posters. HCII 2024. Communications in Computer and Information Science, vol 2115. Springer, Cham. https://doi.org/10.1007/978-3-031-61947-2_33
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DOI: https://doi.org/10.1007/978-3-031-61947-2_33
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