智能手表现场自报告：开源固件解决方案。
Self-Reports in the Field Using Smartwatches: An Open-Source Firmware Solution.
机构信息
Department of Psychology and Psychodynamics, Karl Landsteiner University of Health Sciences, 3500 Krems an der Donau, Austria.
Department of Work, Organizational and Media Psychology, Johannes Kepler University, 4040 Linz, Austria.
出版信息
Sensors (Basel). 2022 Mar 3;22(5):1980. doi: 10.3390/s22051980.
In situ self-reports are a useful tool in the social sciences to supplement laboratory experiments. Smartwatches are a promising form factor to realize these methods. However, to date, no user-friendly, general-purpose solution has been available. This article therefore presents a newly developed, free and open-source firmware that facilitates the Experience Sampling Method and other self-report methods on a commercially-available, programmable smartwatch based on the ESP32 microcontroller. In a small-scale pilot study comparing this smartwatch and firmware to an equivalent design on smartphones, participants using the smartwatch showed increased compliance. The presented project demonstrates a useful tool for complementary tools like smartphones for self-reports.
在社会科学中，原位自我报告是一种有用的工具，可以补充实验室实验。智能手表是实现这些方法的一种很有前途的形式因素。然而，迄今为止，还没有用户友好的通用解决方案。因此，本文介绍了一种新开发的、免费的开源固件，该固件可以在基于 ESP32 微控制器的商业上可用的可编程智能手表上实现体验采样方法和其他自我报告方法。在一项将这款智能手表和固件与智能手机上等效设计进行比较的小规模试点研究中，使用智能手表的参与者表现出了更高的依从性。该项目展示了一种有用的工具，可与智能手机等互补工具一起用于自我报告。
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