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Contribution Details
| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | PACM on Human-Computer Interaction |
| Publisher | Association for Computing Machinery |
| Geographical Reach | international |
| ISSN | 2573-0142 |
| Volume | 1 |
| Number | CSCW |
| Page Range | 1 - 24 |
| Date | 2017 |
| Abstract Text | 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, user-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 and improve collaboration at work. Our work can serve as a starting point for researchers and practitioners to build self-monitoring tools for the workplace. |
| Digital Object Identifier | 10.1145/3134714 |
| Other Identification Number | merlin-id:15499 |
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| Additional Information | Arbeitstitel : Retrospecting on Work and Productivity A Study on Self-Monitoring Software Developers' Work |