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Contribution Details
Type | Conference or Workshop Paper |
Scope | Discipline-based scholarship |
Published in Proceedings | Yes |
Title | Reducing Interruptions at Work: A Large-Scale Field Study of FlowLight |
Organization Unit | |
Authors |
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Presentation Type | paper |
Item Subtype | Original Work |
Refereed | Yes |
Status | Published in final form |
Language |
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Page Range | 61 - 72 |
Event Title | Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems |
Event Type | conference |
Event Location | Denver, Colorado, USA |
Event Start Date | May 6 - 2017 |
Event End Date | May 11 - 2017 |
Series Name | CHI '17 |
Place of Publication | New York, NY, USA |
Publisher | ACM |
Abstract Text | Due to the high number and cost of interruptions at work, several approaches have been suggested to reduce this cost for knowledge workers. These approaches predominantly focus either on a manual and physical indicator, such as headphones or a closed office door, or on the automatic measure of a worker's interruptibilty in combination with a computer-based indicator. Little is known about the combination of a physical indicator with an automatic interruptibility measure and its long-term impact in the workplace. 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%, increased their awareness on the potential disruptiveness of interruptions and most participants never stopped using it. |
Free access at | Official URL |
Official URL | http://dl.acm.org/citation.cfm?doid=3025453.3025662 |
Digital Object Identifier | 10.1145/3025453.3025662 |
Other Identification Number | merlin-id:14802 |
PDF File | Download from ZORA |
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