Reducing Interruptions at Work: A Large-Scale Field Study of FlowLight

@article{Zger2017ReducingIA,
  title={Reducing Interruptions at Work: A Large-Scale Field Study of FlowLight},
  author={M. Z{\"u}ger and Christopher S. Corley and Andr{\'e} N. Meyer and Boyang Li and Thomas Fritz and D. Shepherd and V. Augustine and P. Francis and Nicholas A. Kraft and W. Snipes},
  journal={Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems},
  year={2017}
}
  • M. Züger, Christopher S. Corley, +7 authors W. Snipes
  • Published 2017
  • Computer Science
  • Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
  • Due to the high number and cost of interruptions at work, several approaches have been suggested to reduce this cost for knowledge workers. [...] Key Method In our research, we developed the FlowLight, that combines a physical traffic-light like LED with an automatic interruptibility measure based on computer interaction data. In a large-scale and long-term field study with 449 participants from 12 countries, we found, amongst other results, that the FlowLight reduced the interruptions of participants by 46…Expand Abstract
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