Overcoming mental blocks: A blocks-based approach to experience sampling studies

D. Rough, A. Quigley
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引用次数: 2

Abstract

Experience Sampling Method (ESM) studies repeatedly survey participants on their behaviours and experiences as they go about their everyday lives. Smartphones afford an ideal platform for ESM study applications as devices seldom leave their users, and can automatically sense surrounding context to augment subjective survey responses. ESM studies are employed in fields such as psychology and social science where researchers are not necessarily programmers and require tools for application creation. Previous tools using web forms, text files, or flowchart paradigms are either insufficient to model the potential complexity of study protocols, or fail to provide a low threshold to entry. We demonstrate that blocks programming simultaneously lowers the barriers to creating simple study protocols, while enabling the creation of increasingly sophisticated protocols. We discuss the design of Jeeves, our blocks-based environment for ESM studies, and explain advantages that blocks afford in ESM study design.
克服心理障碍:基于块的经验抽样研究方法
经验抽样法(ESM)研究反复调查参与者在日常生活中的行为和经历。智能手机为ESM研究应用提供了一个理想的平台,因为设备很少离开用户,并且可以自动感知周围环境,以增强主观调查反应。ESM研究被用于心理学和社会科学等领域,这些领域的研究人员不一定是程序员,并且需要创建应用程序的工具。以前使用web表单、文本文件或流程图范例的工具要么不足以模拟研究协议的潜在复杂性,要么无法提供较低的入门门槛。我们证明,块编程同时降低了创建简单研究协议的障碍,同时使创建越来越复杂的协议成为可能。我们讨论了Jeeves的设计,这是我们用于ESM研究的基于块的环境,并解释了块在ESM研究设计中的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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