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通过社交机器人参与实现服务创新以提高痴呆症护理质量。

Service innovation through social robot engagement to improve dementia care quality.

作者信息

Chu Mei-Tai, Khosla Rajiv, Khaksar Seyed Mohammad Sadegh, Nguyen Khanh

机构信息

a Department of Management and Marketing, La Trobe Business School , La Trobe University , Melbourne , Victoria , Australia.

b Research Centre for Computers, Communication and Social Innovation (RECCSI) , La Trobe University , Melbourne , Victoria , Australia.

出版信息

Assist Technol. 2017 Spring;29(1):8-18. doi: 10.1080/10400435.2016.1171807. Epub 2016 Apr 11.

Abstract

Assistive technologies, such as robots, have proven to be useful in a social context and to improve the quality of life for people with dementia (PwD). This study aims to show how the engagement between two social robots and PwD in Australian residential care facilities can improve care quality. An observational method is adopted in the research methodology to discover behavioural patterns during interactions between the robots and PwD. This observational study has undertaken to explore the improvement arising from: (1) approaching social baby-face robots (AR), (2) experiencing pleasure engaging with the robots (P), (3) interacting with the robots (IR), and (4) interacting with others (IO). The findings show that social robots can improve diversion therapy service value to PwD through sensory enrichment, positive social engagement, and entertainment. More than 11,635 behavioral reactions, such as facial expressions and gestures, from 139 PwD over 5 years were coded, in order to identify the engagement effectiveness between PwD and two social robots named Sophie and Jack. The results suggest that these innovative social robots can improve the quality of care for people suffering from dementia.

摘要

事实证明,诸如机器人之类的辅助技术在社交环境中很有用,并且可以提高痴呆症患者(PwD)的生活质量。本研究旨在展示澳大利亚住宅护理机构中两个社交机器人与痴呆症患者之间的互动如何提高护理质量。研究方法采用观察法,以发现机器人与痴呆症患者互动期间的行为模式。这项观察性研究旨在探索以下方面带来的改善:(1)接近社交娃娃脸机器人(AR),(2)与机器人互动获得愉悦感(P),(3)与机器人互动(IR),以及(4)与他人互动(IO)。研究结果表明,社交机器人可以通过感官丰富、积极的社交参与和娱乐来提高对痴呆症患者的转移治疗服务价值。为了确定139名痴呆症患者与两个名为索菲和杰克的社交机器人之间的互动效果,对他们在5年中的11,635多个行为反应(如面部表情和手势)进行了编码。结果表明,这些创新的社交机器人可以提高痴呆症患者的护理质量。

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