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社区居住老年人对手腕佩戴式活动追踪器的接受度:混合方法研究。

User Acceptance of Wrist-Worn Activity Trackers Among Community-Dwelling Older Adults: Mixed Method Study.

作者信息

Puri Arjun, Kim Ben, Nguyen Olivier, Stolee Paul, Tung James, Lee Joon

机构信息

Health Data Science Lab, School of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada.

Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada.

出版信息

JMIR Mhealth Uhealth. 2017 Nov 15;5(11):e173. doi: 10.2196/mhealth.8211.

Abstract

BACKGROUND

Wearable activity trackers are newly emerging technologies with the anticipation for successfully supporting aging-in-place. Consumer-grade wearable activity trackers are increasingly ubiquitous in the market, but the attitudes toward, as well as acceptance and voluntary use of, these trackers in older population are poorly understood.

OBJECTIVE

The aim of this study was to assess acceptance and usage of wearable activity trackers in Canadian community-dwelling older adults, using the potentially influential factors as identified in literature and technology acceptance model.

METHODS

A mixed methods design was used. A total of 20 older adults aged 55 years and older were recruited from Southwestern Ontario. Participants used 2 different wearable activity trackers (Xiaomi Mi Band and Microsoft Band) separately for each segment in the crossover design study for 21 days (ie, 42 days total). A questionnaire was developed to capture acceptance and experience at the end of each segment, representing 2 different devices. Semistructured interviews were conducted with 4 participants, and a content analysis was performed.

RESULTS

Participants ranged in age from 55 years to 84 years (mean age: 64 years). The Mi Band gained higher levels of acceptance (16/20, 80%) compared with the Microsoft Band (10/20, 50%). The equipment characteristics dimension scored significantly higher for the Mi Band (P<.05). The amount a participant was willing to pay for the device was highly associated with technology acceptance (P<.05). Multivariate logistic regression with 3 covariates resulted in an area under the curve of 0.79. Content analysis resulted in the formation of the following main themes: (1) smartphones as facilitators of wearable activity trackers; (2) privacy is less of a concern for wearable activity trackers, (3) value proposition: self-awareness and motivation; (4) subjective norm, social support, and sense of independence; and (5) equipment characteristics matter: display, battery, comfort, and aesthetics.

CONCLUSIONS

Older adults were mostly accepting of wearable activity trackers, and they had a clear understanding of its value for their lives. Wearable activity trackers were uniquely considered more personal than other types of technologies, thereby the equipment characteristics including comfort, aesthetics, and price had a significant impact on the acceptance. Results indicated that privacy was less of concern for older adults, but it may have stemmed from a lack of understanding of the privacy risks and implications. These findings add to emerging research that investigates acceptance and factors that may influence acceptance of wearable activity trackers among older adults.

摘要

背景

可穿戴活动追踪器是新兴技术,有望成功支持就地养老。消费级可穿戴活动追踪器在市场上越来越普遍,但人们对这些追踪器在老年人群体中的态度、接受程度和自愿使用情况了解甚少。

目的

本研究旨在评估加拿大社区居住的老年人对可穿戴活动追踪器的接受程度和使用情况,并使用文献和技术接受模型中确定的潜在影响因素。

方法

采用混合方法设计。从安大略省西南部招募了20名55岁及以上的老年人。在交叉设计研究中,参与者分别使用2种不同的可穿戴活动追踪器(小米手环和微软手环),每个阶段使用21天(即总共42天)。在每个阶段结束时,设计了一份问卷来获取接受程度和体验,代表2种不同的设备。对4名参与者进行了半结构化访谈,并进行了内容分析。

结果

参与者年龄在55岁至84岁之间(平均年龄:64岁)。与微软手环(10/20,50%)相比,小米手环获得了更高的接受度(16/20,80%)。小米手环在设备特征维度上得分显著更高(P<.05)。参与者愿意为设备支付的金额与技术接受程度高度相关(P<.05)。对3个协变量进行多变量逻辑回归,曲线下面积为0.79。内容分析形成了以下主要主题:(1)智能手机作为可穿戴活动追踪器的促进因素;(2)可穿戴活动追踪器对隐私的担忧较少;(3)价值主张:自我意识和动力;(4)主观规范、社会支持和独立感;(5)设备特征很重要:显示屏、电池、舒适度和美观度。

结论

老年人大多接受可穿戴活动追踪器,并且他们清楚地了解其对生活的价值。与其他类型的技术相比,可穿戴活动追踪器被独特地认为更具个人性,因此包括舒适度、美观度和价格在内的设备特征对接受程度有重大影响。结果表明,老年人对隐私的担忧较少,但这可能源于对隐私风险和影响缺乏了解。这些发现为新兴研究增添了内容,该研究调查了老年人对可穿戴活动追踪器的接受程度以及可能影响接受程度的因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6018/5707431/cc06ff6fdfb8/mhealth_v5i11e173_fig1.jpg

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