Reducing Friction for Knowledge Workers with Task Context

Authors

  • Mik Kersten Tasktop Technologies
  • Gail C. Murphy University of British Columbia

DOI:

https://doi.org/10.1609/aimag.v36i2.2581

Abstract

Knowledge workers perform work on many tasks per day and often switch between tasks. When performing work on a task, a knowledge worker must typically search, navigate and dig through file systems, documents and emails, all of which introduce friction into the flow of work. This friction can be reduced, and productivity improved, by capturing and modeling the context of a knowledge worker’s task based on how the knowledge worker interacts with an information space. Captured task contexts can be used to facilitate switching between tasks, to focus a user interface on just the information needed by a task and to recommend potentially other useful information. We report on the use of task contexts and the effect of context on productivity for a particular kind of knowledge worker, software developers. We also report on qualitative findings of the use of task contexts by a more general population of knowledge workers.

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Published

2015-06-21

How to Cite

Kersten, M., & Murphy, G. C. (2015). Reducing Friction for Knowledge Workers with Task Context. AI Magazine, 36(2), 33-41. https://doi.org/10.1609/aimag.v36i2.2581

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Section

Articles