摘要
伴随传感器技术的发展,量化自我吸引了越来越多用户的关注,对个人健康管理发挥了极大作用,然而参与者短期内也往往出现转移、中辍等行为。为了更好地激发用户持续参与并促进量化自我服务发展,文章聚焦于量化自我初始阶段参与者的特征和参与模式。通过问卷调查获取相关数据,从人口统计变量、健康状态和意识变量、健康技术态度和经验变量3个方面对用户特征进行分析,并基于类型理论从Who、What、Why、How四个角度归纳参与模式。研究发现量化自我初始参与者主要是女性、中青年、高收入、慢性病、健康意识高的群体;量化自我工具有物理设备和应用程序两大类,其中用户更多使用可穿戴设备(72%)和移动终端应用程序(80%);此外,初始参与者的动机包含有目的性以及无目的性;初始追踪的内容更多是运动锻炼、睡眠、体重、步数、饮食等。文章结果对于识别目标用户、精准提供健康服务提供了依据,尤其对促进“健康中国”战略发展具有实践意义。
With the development of sensor technology,quantitative self(QS)have attracted more and more users’attention,which have played a great role in personal health management.However,there are often transfer and intermittent discontinuance behaviors in the short term.So this study focuses on user characteristics and participation patterns in the initial stage of QS.We used questionnaire survey to collect QS users’demographic characteristics,health status and awareness,health technology attitude and experience,and related behavioral data.In addition,we summarized participation patterns from the perspectives of‘who、what、why、how’based on genre theory.Through multiple regression analysis,we found that users characteristics were mainly female,young and middle-aged,high income,chronic disease and high health awareness.The QS tools mainly included physical devices and applications.Among them,wearable devices(72%)and mobile terminal applications(80%)are the representatives.The motivations of QS were mainly purposeful motivation and non-purposeful motivation.The tracking contents of QS were mainly related to exercise,sleep,weight,step count and diet.This results provide a basis for identifying target users and providing precise health services,and especially have practical significance for promoting the strategic development of"Health China".
作者
徐孝婷
朱庆华
Xu Xiaoting;Zhu Qinghua
出处
《图书与情报》
CSSCI
北大核心
2022年第5期51-62,共12页
Library & Information
基金
教育部哲学社会科学研究重大课题攻关项目“智慧化养老服务研究”(项目编号:19JZD021)
江苏高校哲学社会科学研究一般项目“数字医疗时代老年人健康信息行为和服务机制研究”(项目编号:2022SJYB0116)
南京邮电大学引进人才科研启动基金项目“基于量化自我的个体健康管理机制研究”(项目编号:NYY221041)研究成果之一。
关键词
量化自我
参与
用户特征
参与模式
类型理论
quantified self
participation
user characteristic
participation pattern
genre theory