Mobile-Based Experience Sampling for Behaviour Research
Mobile-Based Experience Sampling for Behaviour Research
复制标题
用于行为研究的基于移动设备的体验采样
DOI：
10.1007/978-3-319-31413-6_8
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Mirco Musolesi
中科院分区：
文献类型：
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作者：
V. Pejović;N. Lathia;C. Mascolo;Mirco Musolesi
经验抽样方法(ESM)引入了对人类行为的现场抽样，并为研究人员和行为治疗师提供了对一个人的心理状态的生态有效和及时的评估。反过来，这又为理解行为提供了新的机会，其规模和粒度在几年前是不可能的。实际应用有很多，例如提供个性化和灵活的行为干预。移动计算设备代表着改进ESM的革命性平台。它们是我们日常生活中不可分割的一部分，能够感知上下文，并可以在适当的时刻与人互动。此外，这些设备配备了传感器，因此可以减轻参与者的部分报告负担，并自动收集数据。这项调查的目的是讨论在使用移动技术进行ESM(MESM)方面的最新进展，并提出我们对移动体验采样的未来展望。
The Experience Sampling Method (ESM) introduces in-situ sampling of human behaviour, and provides researchers and behavioural therapists with ecologically valid and timely assessments of a person's psychological state. This, in turn, opens up new opportunities for understanding behaviour at a scale and granularity that was not possible just a few years ago. The practical applications are many, such as the delivery of personalised and agile behaviour interventions. Mobile computing devices represent a revolutionary platform for improving ESM. They are an inseparable part of our daily lives, context-aware, and can interact with people at suitable moments. Furthermore, these devices are equipped with sensors, and can thus take part of the reporting burden off the participant, and collect data automatically. The goal of this survey is to discuss recent advancements in using mobile technologies for ESM (mESM), and present our vision of the future of mobile experience sampling.
DOI：
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发表时间：
2006-08
期刊：
--
影响因子：
--
作者：
J. Hektner;Jennifer A. Schmidt;M. Csíkszentmihályi
通讯作者：
J. Hektner;Jennifer A. Schmidt;M. Csíkszentmihályi
影响因子：
7.6
作者：
CLARK, LA;WATSON, D
通讯作者：
WATSON, D