Navigation auf zora.uzh.ch

Search ZORA

ZORA (Zurich Open Repository and Archive)

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

Züger, Manuela; Corley, Christopher; Meyer, André N; Li, Boyang; Fritz, Thomas; Shepherd, David; Augustine, Vinay; Francis, Patrick; Kraft, Nicholas; Snipes, Will (2017). Reducing Interruptions at Work: A Large-Scale Field Study of FlowLight. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, Denver, Colorado, USA, 6 May 2017 - 11 May 2017. ACM, 61-72.

Abstract

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.

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > Human-Computer Interaction
Physical Sciences > Computer Graphics and Computer-Aided Design
Scope:Discipline-based scholarship (basic research)
Language:English
Event End Date:11 May 2017
Deposited On:09 May 2017 09:39
Last Modified:06 Mar 2024 14:24
Publisher:ACM
Series Name:CHI '17
OA Status:Green
Free access at:Official URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.1145/3025453.3025662
Official URL:http://dl.acm.org/citation.cfm?doid=3025453.3025662
Other Identification Number:merlin-id:14802
Project Information:
  • Funder: SNSF
  • Grant ID: 200021_150050
  • Project Title: DARINO: Developer's Awareness of Relevant Information

Metadata Export

Statistics

Citations

Dimensions.ai Metrics
54 citations in Web of Science®
66 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

2424 downloads since deposited on 09 May 2017
164 downloads since 12 months
Detailed statistics

Authors, Affiliations, Collaborations

Similar Publications