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基于TAM的创新数据挖掘驱动优化建模方法,用于设计以老年人为中心的ICT产品
Yu Cao1, Xiaogang Yang2, Shijian Luo3
1Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, 315000, China.
Scientific reports
|January 24, 2026
概括
本研究介绍了一种数据挖掘方法,以优化针对老年人的信息和通信技术 (ICT) 产品设计. 关键的设计元素通过提高感知易用性和实用性,显著提高了用户接受度.
科学领域:
- 人与计算机的交互
- 老年学是指老年学的学科.
- 数据挖掘 数据挖掘
背景情况:
- 信息和通信技术 (ICT) 产品设计往往忽视了老年人的特定需求,导致用户体验不佳和采用率低.
- 将老年人的需求纳入ICT设计对于提高他们的生活质量和健康至关重要.
研究的目的:
- 为设计以老年人为中心的ICT产品提出一个创新的数据挖掘驱动的优化建模方法.
- 为老年人建立设计参数,用户感知和行为意图之间的定量关系.
主要方法:
- 文本挖掘技术,包括数据净化和隐性迪里克莱特分配 (LDA),用于从老年ICT产品的在线评论中提取关键设计元素.
- 一个用户需要的综合技术接受模型 (UN-TAM) 用这些元素作为外部变量构建并使用结构方程建模 (SEM) 进行验证.
- 对老年智能手表进行了个案研究,提取了四个设计参数:功能架构,人机界面,形态美学和交互模式.
主要成果:
- 该研究确定了影响老年人接受产品的四个关键设计参数:功能架构,人机界面,形态美学和交互模式.
- 这些参数通过感知易用性 (γ=0.641),感知有用性 (γ=0.601) 和感知享受 (γ=0.402) 来显著影响产品的接受度.
- 功能架构最显著地影响感知到的实用性,而其他三个参数主要影响感知到的易用性.
结论:
- 拟议的数据挖掘驱动优化建模方法有效地弥合了设计参数和对以老年人为中心的ICT产品的用户接受度之间的差距.
- 这种方法为设计和制造更好地满足老年人的需求和增强老年人的经验的ICT产品提供了有价值的工具.
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