智慧养老领域隐式交互的应用现状及前景

Application Status and Prospects of Implicit Interaction in the Field of Smart Care for the Aged

中文关键词: 智慧养老  隐式交互  交互设计  物联网  大数据  人工智能

英文关键词: smart care for the aged  implicit interaction  interaction design  internet of things  big data  artificial in-telligence

中文摘要:

      目的 对隐式人机交互在智慧养老领域的应用现状进行梳理，分析其特征及发展前景。方法 综合梳理智慧养老交互设计研究现状，分析老年群体的生理心理特征及隐式交互理论基础，结合智慧养老领域典型场景中隐式交互的应用现状及相关课题展开讨论。结论 总结出智慧养老领域隐式交互的应用特点，包括涉及较多关键性操作、长期监护及个人数据实时自动采集、第三方介入交互、系统平台建设和社会的参与。推断智慧养老领域隐式交互未来发展方向，即在以物联网、大数据、人工智能为依托的智慧养老领域，隐式交互是满足以人为本设计开发的核心部分，它可以通过生物感应、环境识别、数据挖掘、机器学习、协同共创等方式来实现。新技术应用与落地，数据库建设与共享，将是未来应用研究的关键和热点。

英文摘要:

      The work aims to comb the application status of implicit human-computer interaction in the field of smart care for the aged, and analyze its characteristics and development prospects. The research status of interaction design of smart care for the aged was comprehensively combed and the physiological and psychological characteristics of the elderly and the basis of implicit interaction theory were analyzed. Then, the discussion was conducted in combination with the application status and related topics of implicit interaction in the typical scenes of smart care for the aged. The characteristics of implicit interaction application in the field of smart care for the aged are summarized, including many key operations involved, long-term monitoring and real-time automatic collection of personal data, third-party intervention and interaction, system platform construction and social participation. The future development direction of implicit interaction in the field of smart care for the aged is inferred as follows: based on the internet of things, big data and artificial intelligence, implicit interaction is the core part to satisfy user-oriented design and development. It can be achieved through biosensing, environmental recognition, data mining, machine learning and collaborative co-creation. The application and landing of new technologies and the construction and sharing of databases will be the key and hotspots for future application research.