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智能虚拟助手在促进 2 型糖尿病老年患者行为改变和自我护理方面的可用性。

Usability of an Intelligent Virtual Assistant for Promoting Behavior Change and Self-Care in Older People with Type 2 Diabetes.

机构信息

Faculdade de Ciências da Universidade de Lisboa, Lisbon, Portugal.

Unidade de Investigação e Desenvolvimento em Enfermagem (ui&de), Escola Superior de Enfermagem de Lisboa, Lisbon, Portugal.

出版信息

J Med Syst. 2020 Jun 13;44(7):130. doi: 10.1007/s10916-020-01583-w.

DOI:10.1007/s10916-020-01583-w
PMID:32533367
Abstract

In the context of the VASelfCare project, we developed an application prototype of an intelligent anthropomorphic virtual assistant. Designed as a relational agent, the virtual assistant has the role of supporting older people with Type 2 Diabetes Mellitus (T2D) in medication adherence and lifestyle changes. Our paper has two goals: describing the essentials of this prototype, and reporting on usability evaluation. We describe the general architecture of the prototype, including the graphical component, and focus on its main feature: the incorporation, in the way the dialogue flows, of Behavior Change Techniques, identified through a theoretical framework, the Behaviour Change Wheel. Usability was experimentally evaluated in field tests in a purposive sample of 20 participants (11 older adults with T2D and 9 experts). The Portuguese version of the System Usability Scale was employed, supplemented with qualitative data from open questions, diaries, digital notes and telephone follow-ups. The aggregated mean SUS score was 73,75 (SD 13,31), which corresponds to a borderline rating of excellent. Textual data were content analyzed and will be prioritized to further improve usability.

摘要

在 VASelfCare 项目的背景下,我们开发了一个智能拟人化虚拟助手的应用原型。该虚拟助手被设计为关系型代理,旨在为 2 型糖尿病(T2D)患者提供药物依从性和生活方式改变方面的支持。我们的论文有两个目标:描述该原型的要点,并报告可用性评估结果。我们描述了原型的总体架构,包括图形组件,并重点介绍了其主要功能:通过理论框架——行为改变车轮,将行为改变技术融入对话流程中。我们在一个有目的的 20 名参与者(11 名患有 T2D 的老年人和 9 名专家)的样本中进行了现场测试,对可用性进行了实验评估。我们使用了葡萄牙语版的系统可用性量表(SUS),并辅以来自开放问题、日记、数字笔记和电话随访的定性数据。综合平均 SUS 得分为 73.75(SD 13.31),这对应于优秀的边缘评级。文本数据进行了内容分析,并将优先考虑进一步提高可用性。

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