Design of Digital Workplace Stress-Reduction Intervention Systems: Effects of Intervention Type and Timing
Design of Digital Workplace Stress-Reduction Intervention Systems: Effects of Intervention Type and Timing
复制标题
数字化工作场所减压干预系统的设计：干预类型和时机的影响
DOI：
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
M. Czerwinski
中科院分区：
文献类型：
--
作者：
Esther Howe;J. Suh;M. B. Morshed;Daniel J. McDuff;Kael Rowan;Javier Hernandez;Marah Abdin;Gonzalo A. Ramos;Tracy Tran;M. Czerwinski
由于参与和遵守障碍，工作场所减压干预措施产生了好坏参半的结果。利用技术将这些干预措施整合到工作日中可以解决这些障碍，并有助于减轻工作场所压力对精神，身体和金钱的影响。为了设计一个工作场所减压干预系统，我们进行了为期四周的纵向研究，86名参与者，研究干预类型和时间对使用，减压效果和用户偏好的影响。我们比较了三种干预类型和两种交付时间条件：由用户预先安排（PS）和由系统识别的用户压力水平提示的即时（JIT）。我们发现JIT参与者比PS参与者完成了更多的干预，但干预后和研究期间的压力减轻在不同条件下没有显着差异。参与者对低努力干预的评价最高，但高努力干预减少了最大的压力。与会者认为JIT提供了问责制，但希望部分机构超过时间。我们提出的类型和时间的影响。
Workplace stress-reduction interventions have produced mixed results due to engagement and adherence barriers. Leveraging technology to integrate such interventions into the workday may address these barriers and help mitigate the mental, physical, and monetary effects of workplace stress. To inform the design of a workplace stress-reduction intervention system, we conducted a four-week longitudinal study with 86 participants, examining the effects of intervention type and timing on usage, stress reduction impact, and user preferences. We compared three intervention types and two delivery timing conditions: Pre-scheduled (PS) by users and Just-in-time (JIT) prompted by the system-identified user stress-levels. We found JIT participants completed significantly more interventions than PS participants, but post-intervention and study-long stress reduction was not significantly different between conditions. Participants rated low-effort interventions highest, but high-effort interventions reduced the most stress. Participants felt JIT provided accountability but desired partial agency over timing. We present type and timing implications.
影响因子：
7.6
作者：
Gross, JJ;John, OP
通讯作者：
John, OP
DOI：
10.1145/3421937.3421975
发表时间：
2020-05
期刊：
International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare
影响因子：
--
作者：
Schroeder J;Suh J;Wilks C;Czerwinski M;Munson SA;Fogarty J;Althoff T
通讯作者：
Althoff T
影响因子：
5.6
作者：
Carney, Colleen E.;Buysse, Daniel J.;Morin, Charles M.
通讯作者：
Morin, Charles M.