PDF(Pubmed)
Abstract：
As people age, their physical capacities (eg, walking and balance) decline and the risk of falling rises. Yet, classic fall detection devices are poorly accepted by older adults. Because they often wear eyeglasses as they go about their daily activities, daily monitoring to detect and prevent falls with smart eyeglasses might be more easily accepted.
On the basis of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), this study evaluated (1) the acceptability of smart eyeglasses for the detection and prevention of falls by older adults and (2) the associations with selected fall-related functional physical capacities.
A total of 142 volunteer older adults (mean age 74.9 years, SD 6.5 years) completed the UTAUT2 questionnaire adapted for smart eyeglasses and then performed several physical tests: a unipodal balance test with eyes open and closed, a 10-m walk test, and a 6-minute walk test. An unsupervised analysis classified the participants into physical performance groups. Multivariate ANOVAs were performed to identify differences in acceptability constructs according to the performance group.
The UTAUT2 questionnaire adapted for eyeglasses presented good psychometric properties. Performance expectancy (β=.21, P=.005), social influence (β=.18, P=.007), facilitating conditions (β=.17, P=.04), and habit (β=.40, P<.001) were significant contributors to the behavioral intention to use smart eyeglasses (R²=0.73). The unsupervised analysis based on fall-related functional physical capacities created 3 groups of physical performance: low, intermediate, and high. Effort expectancy in the low performance group (mean 3.99, SD 1.46) was lower than that in the other 2 groups (ie, intermediate: mean 4.68, SD 1.23; high: mean 5.09, SD 1.41). Facilitating conditions in the high performance group (mean 5.39, SD 1.39) were higher than those in the other 2 groups (ie, low: mean 4.31, SD 1.68; intermediate: mean 4.66, SD 1.51).
To our knowledge, this study is the first to examine the acceptability of smart eyeglasses in the context of fall detection and prevention in older adults and to associate acceptability with fall-related functional physical capacities. The older adults with higher physical performances, and possibly lower risks of falling, reported greater acceptability of smart eyeglasses for fall prevention and detection than their counterparts exhibiting low physical performances.
On the basis of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), this study evaluated (1) the acceptability of smart eyeglasses for the detection and prevention of falls by older adults and (2) the associations with selected fall-related functional physical capacities.
A total of 142 volunteer older adults (mean age 74.9 years, SD 6.5 years) completed the UTAUT2 questionnaire adapted for smart eyeglasses and then performed several physical tests: a unipodal balance test with eyes open and closed, a 10-m walk test, and a 6-minute walk test. An unsupervised analysis classified the participants into physical performance groups. Multivariate ANOVAs were performed to identify differences in acceptability constructs according to the performance group.
The UTAUT2 questionnaire adapted for eyeglasses presented good psychometric properties. Performance expectancy (β=.21, P=.005), social influence (β=.18, P=.007), facilitating conditions (β=.17, P=.04), and habit (β=.40, P<.001) were significant contributors to the behavioral intention to use smart eyeglasses (R²=0.73). The unsupervised analysis based on fall-related functional physical capacities created 3 groups of physical performance: low, intermediate, and high. Effort expectancy in the low performance group (mean 3.99, SD 1.46) was lower than that in the other 2 groups (ie, intermediate: mean 4.68, SD 1.23; high: mean 5.09, SD 1.41). Facilitating conditions in the high performance group (mean 5.39, SD 1.39) were higher than those in the other 2 groups (ie, low: mean 4.31, SD 1.68; intermediate: mean 4.66, SD 1.51).
To our knowledge, this study is the first to examine the acceptability of smart eyeglasses in the context of fall detection and prevention in older adults and to associate acceptability with fall-related functional physical capacities. The older adults with higher physical performances, and possibly lower risks of falling, reported greater acceptability of smart eyeglasses for fall prevention and detection than their counterparts exhibiting low physical performances.
摘要：
背景：随着年龄的增长，他们的身体能力(例如，行走和平衡)下降，下降的风险上升。然而，经典的跌倒检测设备很难被老年人接受。因为他们在日常活动中经常戴眼镜，使用智能眼镜进行日常监测以检测和防止跌倒可能更容易被接受。
目的：在接受和使用技术2的统一理论（UTAUT2）的基础上，本研究评估了(1)智能眼镜在检测和预防老年人跌倒方面的可接受性,以及(2)与选定的跌倒相关功能体能的相关性.
方法：共有142名老年人志愿者（平均年龄74.9岁，SD6.5年）完成了适用于智能眼镜的UTAUT2问卷，然后进行了几项物理测试：睁眼和闭眼的单足平衡测试，10米步行测试,还有6分钟的步行测试.无监督分析将参与者分为身体表现组。根据性能组进行多变量ANOVAs以识别可接受性结构的差异。
结果：适用于眼镜的UTAUT2问卷具有良好的心理测量特性。预期性能（β=.21，P=.005），社会影响力(β=.18，P=.007)，促进条件(β=.17，P=.04)，和习惯（β=0.40，P<.001）是使用智能眼镜的行为意图的重要因素（R²=0.73）。基于跌倒相关功能物理能力的无监督分析创建了3组物理表现：低，中间,和高。低绩效组的努力期望（平均3.99，SD1.46）低于其他2组（即，中间：平均4.68，SD1.23；高：平均5.09，SD1.41）。高性能组的促进条件（平均5.39，SD1.39）高于其他2组（即，低：平均4.31，SD1.68；中间：平均4.66，SD1.51）。
结论：据我们所知，这项研究首次检验了智能眼镜在老年人跌倒检测和预防中的可接受性,并将可接受性与跌倒相关的身体功能能力联系起来.身体表现较高的老年人，可能会降低跌倒的风险，据报道，智能眼镜在跌倒预防和检测方面的可接受性要高于表现出低物理性能的眼镜。
目的：在接受和使用技术2的统一理论（UTAUT2）的基础上，本研究评估了(1)智能眼镜在检测和预防老年人跌倒方面的可接受性,以及(2)与选定的跌倒相关功能体能的相关性.
方法：共有142名老年人志愿者（平均年龄74.9岁，SD6.5年）完成了适用于智能眼镜的UTAUT2问卷，然后进行了几项物理测试：睁眼和闭眼的单足平衡测试，10米步行测试,还有6分钟的步行测试.无监督分析将参与者分为身体表现组。根据性能组进行多变量ANOVAs以识别可接受性结构的差异。
结果：适用于眼镜的UTAUT2问卷具有良好的心理测量特性。预期性能（β=.21，P=.005），社会影响力(β=.18，P=.007)，促进条件(β=.17，P=.04)，和习惯（β=0.40，P<.001）是使用智能眼镜的行为意图的重要因素（R²=0.73）。基于跌倒相关功能物理能力的无监督分析创建了3组物理表现：低，中间,和高。低绩效组的努力期望（平均3.99，SD1.46）低于其他2组（即，中间：平均4.68，SD1.23；高：平均5.09，SD1.41）。高性能组的促进条件（平均5.39，SD1.39）高于其他2组（即，低：平均4.31，SD1.68；中间：平均4.66，SD1.51）。
结论：据我们所知，这项研究首次检验了智能眼镜在老年人跌倒检测和预防中的可接受性,并将可接受性与跌倒相关的身体功能能力联系起来.身体表现较高的老年人，可能会降低跌倒的风险，据报道，智能眼镜在跌倒预防和检测方面的可接受性要高于表现出低物理性能的眼镜。
