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用于老年人日常生活协助的社交辅助步行器。

Socially assistive walker for daily living assistance in older adults.

作者信息

Sierra M Sergio D, Harris Nigel, Múnera Marcela, Cifuentes Carlos A

机构信息

Faculty of Engineering, University of Bristol, Bristol, United Kingdom.

Bristol Robotics Laboratory, University of the West of England, Bristol, United Kingdom.

出版信息

Front Robot AI. 2024 Aug 16;11:1401663. doi: 10.3389/frobt.2024.1401663. eCollection 2024.

Abstract

INTRODUCTION

This paper addresses the growing healthcare needs of an ageing population and the lack of advanced technologies with social capabilities that are cost effective, user friendly, and readily adopted. In response to this motivation, a socially assistive walker is designed to provide physical and cognitive support in activities of daily living for older adults.

METHODS

Physical and cognitive support is provided by walker's structure, sensors, and feedback interfaces to assist users daily living activities, as well as, in navigating environment safely and efficiently. The walker's design arises from semi-structured interviews conducted with ageing experts, leading to the development of two levels or modes of social interaction, namely low and high interaction.

RESULTS AND DISCUSSION

In a cohort of 14 adults, the study found the device easy to use regardless of the interaction mode, with 78.5% expressing a preference for the version featuring embodiment, verbal feedback, and more proactive cues ( 0.05). The results also prompted ideas and suggestions for new designs based on insights gleaned from the user. This research contributes to the field of socially assistive robotics by offering an example of a user centred approach to address the healthcare challenges an ageing population poses.

摘要

引言

本文探讨了老龄化人口日益增长的医疗保健需求,以及缺乏具有社会能力、成本效益高、用户友好且易于采用的先进技术的问题。出于这一动机,设计了一种社会辅助步行器,为老年人的日常生活活动提供身体和认知支持。

方法

步行器的结构、传感器和反馈接口提供身体和认知支持,以协助用户进行日常生活活动,并安全、高效地在环境中导航。步行器的设计源于对老龄问题专家进行的半结构化访谈,从而产生了两种社会互动水平或模式,即低互动和高互动。

结果与讨论

在14名成年人的队列中,研究发现该设备无论采用何种互动模式都易于使用,78.5%的人表示更喜欢具有实体化、言语反馈和更主动提示的版本(P<0.05)。研究结果还根据从用户那里获得的见解,为新设计提出了想法和建议。这项研究通过提供一个以用户为中心的方法示例,来应对老龄化人口带来的医疗保健挑战,为社会辅助机器人领域做出了贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/753e/11362817/c2bd55c23c9c/frobt-11-1401663-g001.jpg

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