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利用可穿戴传感器和经验取样法追踪自然环境中的人类活动与健康状况。

Tracking human activity and well-being in natural environments using wearable sensors and experience sampling.

作者信息

Doherty Sean T, Lemieux Christopher J, Canally Culum

机构信息

Wilfrid Laurier University, 75 University Ave. West, Waterloo, Ontario, Canada.

Wilfrid Laurier University, 75 University Ave. West, Waterloo, Ontario, Canada.

出版信息

Soc Sci Med. 2014 Apr;106:83-92. doi: 10.1016/j.socscimed.2014.01.048. Epub 2014 Jan 31.

Abstract

A growing range of studies have begun to document the health and well-being benefits associated with contact with nature. Most studies rely on generalized self-reports following engagement in the natural environment. The actual in-situ experience during contact with nature, and the environmental features and factors that evoke health benefits have remained relatively unexplored. Smartphones offer a new opportunity to monitor and interact with human subjects during everyday life using techniques such as Experience Sampling Methods (ESM) that involve repeated self-reports of experiences as they occur in-situ. Additionally, embedded sensors in smartphones such as Global Positioning Systems (GPS) and accelerometers can accurately trace human activities. This paper explores how these techniques can be combined to comprehensively explore the perceived health and well-being impacts of contact with nature. Custom software was developed to passively track GPS and accelerometer data, and actively prompt subjects to complete an ESM survey at regular intervals throughout their visit to a provincial park in Ontario, Canada. The ESM survey includes nine scale questions concerning moods and emotions, followed by a series of open-ended experiential questions that subjects provide recorded audio responses to. Pilot test results are used to illustrate the nature, quantity and quality of data obtained. Participant activities were clearly evident from GPS maps, including especially walking, cycling and sedate activities. From the ESM surveys, participants reported an average of 25 words per question, taking an average of 15 s to record them. Further qualitative analysis revealed that participants were willing to provide considerable insights into their experiences and perceived health impacts. The combination of passive and interactive techniques is sure to make larger studies of this type more affordable and less burdensome in the future, further enhancing the ability to understand how contact with nature enhances health and well-being.

摘要

越来越多的研究开始记录与接触自然相关的健康和幸福益处。大多数研究依赖于在自然环境中活动后的一般性自我报告。接触自然期间的实际现场体验以及引发健康益处的环境特征和因素仍未得到充分探索。智能手机提供了一个新机会,可在日常生活中使用诸如经验抽样法(ESM)等技术对人类受试者进行监测和互动,该方法涉及对现场发生的体验进行反复自我报告。此外,智能手机中嵌入的全球定位系统(GPS)和加速度计等传感器可以准确追踪人类活动。本文探讨了如何将这些技术结合起来,以全面探索接触自然对健康和幸福的感知影响。开发了定制软件来被动跟踪GPS和加速度计数据,并积极促使受试者在访问加拿大安大略省的一个省级公园期间定期完成ESM调查。ESM调查包括九个关于情绪和情感的量表问题,随后是一系列开放式体验问题,受试者需提供录音回答。试点测试结果用于说明所获得数据的性质、数量和质量。从GPS地图中可以清楚地看到参与者的活动,尤其是步行、骑自行车和安静的活动。从ESM调查中,参与者平均每个问题报告25个单词,平均花费15秒来记录。进一步的定性分析表明,参与者愿意就他们的体验和感知到的健康影响提供相当多的见解。被动和交互式技术的结合肯定会使未来这类更大规模的研究更经济实惠且负担更小,进一步增强理解接触自然如何增进健康和幸福的能力。

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