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老年人居家用药管理:机器人如何提供帮助?

Older Adults' Medication Management in the Home: How can Robots Help?

作者信息

Prakash Akanksha, Beer Jenay M, Deyle Travis, Smarr Cory-Ann, Chen Tiffany L, Mitzner Tracy L, Kemp Charles C, Rogers Wendy A

机构信息

School of Psychology Georgia Institute of Technology Atlanta, GA, USA.

Dept of Electrical Engineering Duke University Durham, NC, USA.

出版信息

Proc ACM SIGCHI. 2013 Mar;2013:283-290. doi: 10.1109/HRI.2013.6483600. Epub 2013 Mar 21.

DOI:10.1109/HRI.2013.6483600
PMID:31240280
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6592029/
Abstract

Successful management of medications is critical to maintaining healthy and independent living for older adults. However, medication non-adherence is a common problem with a high risk for severe consequences [5], which can jeopardize older adults' chances to age in place [1]. Well-designed robots assisting with medication management tasks could support older adults' independence. Design of successful robots will be enhanced through understanding concerns, attitudes, and preferences for medication assistance tasks. We assessed older adults' reactions to medication hand-off from a mobile manipulator robot with 12 participants (68-79 yrs). We identified factors that affected their attitudes toward a mobile manipulator for supporting general medication management tasks in the home. The older adults were open to robot assistance; however, their preferences varied depending on the nature of the medication management task. For instance, they preferred a robot (over a human) to remind them to take medications, but preferred human assistance for deciding what medication to take and for administering the medication. Factors such as perceptions of one's own capability and robot reliability influenced their attitudes.

摘要

成功管理药物对于老年人维持健康和独立生活至关重要。然而,药物治疗依从性差是一个常见问题,存在严重后果的高风险[5],这可能会危及老年人居家养老的机会[1]。精心设计的机器人协助药物管理任务可以支持老年人的独立性。通过了解对药物辅助任务的担忧、态度和偏好,将增强成功机器人的设计。我们评估了12名参与者(68 - 79岁)对移动操纵机器人进行药物交接的反应。我们确定了影响他们对在家中支持一般药物管理任务的移动操纵器态度的因素。老年人对机器人协助持开放态度;然而,他们的偏好因药物管理任务的性质而异。例如,他们更喜欢机器人(而不是人)提醒他们服药,但在决定服用什么药物和给药时更喜欢人类协助。诸如对自身能力的认知和机器人可靠性等因素影响了他们的态度。

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