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Quantifying adaptation parameters for information support of trauma teams
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Conference on Human Factors in Computing Systems archive
CHI '08 extended abstracts on Human factors in computing systems table of contents
Florence, Italy
SESSION: Works in progress table of contents
Pages 3303-3308  
Year of Publication: 2008
ISBN:978-1-60558-012-X
Authors
Aleksandra Sarcevic  Rutgers University, New Brunswick, NJ, USA
Michael E. Lesk  Rutgers University, New Brunswick, NJ, USA
Ivan Marsic  Rutgers University, Piscataway, NJ, USA
Randall S. Burd  UMDNJ-Robert Wood Johnson Medical School, New Brunswick, NJ, USA
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Trauma centers are stressful, noisy and dynamic environments, with many people performing complex tasks, and with little in the way of information support. Information must be prioritized and filtered to avoid overload or loss. This work quantifies the information-selection parameters that will guide adaptive user interfaces for trauma teams.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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American College of Surgeons, Advanced Trauma Life Support® (ATLS®), 7th Edition, Chicago, IL, 2005.
 
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Gruen, R. L., et al. Patterns of errors contributing to trauma mortality: Lessons learned from 2594 deaths. Annals of Surgery, 244, 3, 371--380, 2006.
 
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Jordan, B., and Henderson, A. Interaction analysis: Foundations and practice. The Journal of Learning Sciences, 4, 1, 39--103, 1995.
 
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Sarcevic, A. Human-information interaction in timecritical settings: Information needs and use in the emergency room. ASIS&T'07 Annual Meeting, Milwaukee, WI, Oct. 2007.
 
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Collaborative Colleagues:
Aleksandra Sarcevic: colleagues
Michael E. Lesk: colleagues
Ivan Marsic: colleagues
Randall S. Burd: colleagues