TrainBo让认知衰退老人通过互动机器人参与情景训练，提升参与感和动机。
TrainBo: An Interactive Robot-assisted Scenario Training System for Older Adults with Dementia
- 基于自我决定理论设计交互式机器人训练系统
- 7位痴呆老人使用4周后，行为、情绪参与度与内在动机均提升
- 适合养老机构用于改善认知训练体验
痴呆症是严重到影响日常活动的记忆与认知能力下降。亟需可及的技术来延缓认知衰退。具备即时反馈与协助能力的社会化机器人已被证实能提升各年龄群体的学习能力。本研究基于自我决定理论，设计了交互式机器人辅助情景训练系统 TrainBo，通过形成性与正式研究提炼设计需求，并评估其可用性。在港一养老中心对7位痴呆老人开展为期4周的试点测试。结果表明，使用 TrainBo 后，老人的行为参与度、情感参与度及内在动机均有提升。该发现为开发更具吸引力的交互式机器人提供重要参考。
原文摘要 · Abstract (English)
Dementia is an overall decline in memory and cognitive skills severe enough to reduce an elders ability to perform everyday activities. There is an increasing need for accessible technologies for cognitive training to slow down the cognitive decline. With the ability to provide instant feedback and assistance, social robotic systems have been proven effective in enhancing learning abilities across various age groups. This study focuses on the design of an interactive robot-assisted scenario training system TrainBo with self-determination theory, derives design requirements through formative and formal studies and the system usability is also be evaluated. A pilot test is conducted on seven older adults with dementia in an elderly care center in Hong Kong for four weeks. Our finding shows that older adults with dementia have an improvement in behavioural engagement, emotional engagement, and intrinsic motivation after using Trainbo. These findings can provide valuable insights into the development of more captivating interactive robots for extensive training purposes.
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