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使用半自动化WhatsApp消息进行日常压力测量:综合可用性和可行性研究

Janika Thielecke^1,2, Maartje Bakhuys Roozeboom¹, Irene Niks¹

¹Work and Heath, The Netherlands Organization for Applied Scientific Research (TNO), Sylviusweg 71, Leiden, 7415 NC, The Netherlands.

JMIR formative research

|March 11, 2026

概括

每天的工作压力可以有效地使用WhatsApp消息来测量,多选项和文本选项显示出比语音消息更高的坚持和更丰富的数据. 这种方法提供了一个可行的方法来收集细粒度的压力洞察力.

科学领域:

职业健康职业健康职业健康
数字健康数字健康
心理评估心理评估

背景情况:

工作场所的压力显著影响健康和绩效.
传统的压力评估往往是回顾性的,缺乏细节性.
基于智能手机的日常压力监测面临着坚持挑战.

研究的目的:

评估使用半自动化WhatsApp消息用于日常工作压力数据收集的可用性和可行性.
为了比较语音,文本和多选项 (MC) 消息格式在收集与压力相关的信息中的有效性.
通过WhatsApp探索参与者对不同数据收集方法的偏好.

主要方法:

一项10个工作日记研究,涉及210名工人使用半自动化WhatsApp消息.
一个实验设计,四个小组比较语音,文本和MC消息,有和没有表情符号.
数据收集包括每日压力评级,压力因素,能量来源和研究后的可用性问卷.

主要成果:

通过基于WhatsApp的数据收集,实现了高坚持率 (95%).
参与者更喜欢多选项和短信而不是语音消息,以方便和方便.
与语音条件相比,MC条件每周产生的压力大约是语音条件的三倍,平均压力水平类似.

结论:

半自动化WhatsApp消息提供了一种可行的,低精力方法来收集日常工作压力数据.
用户更喜欢多选项和短信格式,并提供了有关压力因素的更详细信息.
进一步的研究应该研究这种方法在不同的人群中,并将其与传统的评估技术进行比较.

关键词:

在这里,我们可以看到AIAIAI.人工智能的人工智能是人工智能.聊天机器人聊天机器人日记学习日记数字压力评估数字压力评估的可行性和可行性.写日记是为了记事.监控监控监控监控监控监控可用性可用性可用性在WhatsApp上使用WhatsApp 工作压力工作压力

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