Supplementary Material For The Paper "Design Recommendations For Self-Monitoring In The Workplace: Studies In Software Development"

Contains the supplementary material for the paper "Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development" submitted to CSCW'18. All contents are explained in the file README.txt. <strong>Abstract:</strong><br> One way to improve the productivity of knowledge workers is to increase their self-awareness about productivity at work through self-monitoring. Yet, little is known about expectations of, the experience with and the impact of self-monitoring in the workplace. To address this gap, we studied software developers, as one community of knowledge workers. We used an iterative, feedback-driven development approach (N=20) and a survey (N=413) to infer design elements for workplace self-monitoring, which we then implemented as a technology probe called WorkAnalytics. We field-tested these design elements during a three-week study with software development professionals (N=43). Based on the results of the field study, we present design recommendations for self-monitoring in the workplace, such as using experience sampling to increase the awareness about work and to create richer insights, the need for a large variety of different metrics to retrospect about work, and that actionable insights, enriched with benchmarking data from co-workers, are likely needed to foster productive behavior change at work. <strong>Source Code:</strong> The source code of WorkAnalytics can be found on <strong>GitHub</strong> (under the original name PersonalAnalytics). WorkAnalytics was built with Microsoft's Dot.Net framework in C# and can be used on the Windows 7, 8 and 10 operating system.本数据集为提交至CSCW'18的论文"面向职场自我监控的设计建议：软件开发领域的研究"的补充材料，所有内容详见README.txt文件。<br><br><strong>摘要：</strong><br>提升知识工作者生产力的有效途径之一，是通过自我监控帮助其建立对职场生产力的自我认知。然而当前学界对职场自我监控的用户预期、使用体验及其实际影响的研究仍相对不足。为填补这一研究缺口，我们以软件开发从业者这一典型知识工作者群体为研究对象展开探究。我们先后采用迭代式反馈驱动开发方法（样本量N=20）与问卷调查法（样本量N=413），推导出职场自我监控工具的核心设计要素，并将其实现为一款名为WorkAnalytics的技术探针（technology probe）。随后我们组织了为期三周的现场研究，邀请43名软件开发专业人士参与，对这些设计要素进行实地测试。基于本次现场研究的结果，我们提出了多项职场自我监控工具的设计建议：例如可采用体验采样法提升用户对工作的感知深度并生成更具价值的洞察；需提供丰富多样的量化指标以支持用户对工作过程的全面复盘；此外，结合同事基准数据生成的可落地行动洞察，或可有效推动职场中生产性行为的积极改变。<br><br><strong>源代码：</strong><br>WorkAnalytics的源代码可在GitHub平台获取（其初始项目名称为PersonalAnalytics）。该工具基于微软（Microsoft）的Dot.Net框架与C#语言开发，可在Windows 7、8及10操作系统上稳定运行。