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

机译:克服思维障碍:一种基于块的经验抽样研究方法

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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.
机译:体验抽样方法(ESM)研究反复调查参与者的日常生活和行为。由于设备很少离开用户,因此智能手机为ESM研究应用程序提供了理想的平台,并且可以自动感知周围环境以增强主观调查响应。 ESM研究用于心理学和社会科学等领域,研究人员不一定是程序员,而是需要用于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或者不足以对研究方案的潜在复杂性进行建模,或者无法提供较低的准入门槛。我们证明了块编程可以同时降低创建简单学习协议的障碍,同时可以创建越来越复杂的协议。我们讨论了Jeeves的设计,这是我们基于块的ESM研究环境,并解释了ESM研究设计中块提供的优势。

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