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A user-centered drowsy-driver detection and warning system
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Source Designing For User Experiences archive
Proceedings of the 2003 conference on Designing for user experiences table of contents
San Francisco, California
SESSION: DUX in practice I table of contents
Pages: 1 - 4  
Year of Publication: 2003
ISBN:1-58113-728-1
Authors
Ellen M. Ayoob  Carnegie Mellon University, Pittsburgh, PA
Richard Grace  Carnegie Mellon University, Pittsburgh, PA
Aaron Steinfeld  Carnegie Mellon University, Pittsburgh, PA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
: American Institute of Graphic Arts
Publisher
ACM  New York, NY, USA
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ABSTRACT

This work is a culmination of years of research to develop an effective in-vehicle countermeasure to drowsy driving. Previous work resulted in an independently validated measure of drowsiness that was then incorporated into a drowsy-driver prototype monitor. The goal of this project was to develop an associated drowsy-driver interface that enabled effective, user-centered interactions with the underlying system.A multidisciplinary team designed a new drowsy-driver interface and introduced smart user interactions through a careful participatory design process that included both design experts and commercial motor vehicle drivers. It is hoped that this effort and subsequent field trials will result in a reliable, smart system that convinces drivers that they are driving in an unsafe condition and to make a wise choiceóstop and rest.


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.

 
1
Wierwille, W. W., Ellsworth, L. A., Wreggit, S. S., Fairbanks, R. J., & Kirn, C. L. (1994). Research on Vehicle-Based Driver Status/Performance Monitoring: Development, Validation, And Refinement of Algorithms for Detection of Driver Drowsiness. Final Report. (DOT HS 808 247). Washington, D.C.: National Highway Traffic Safety Administration.
 
2
Dinges, D. F., Mallis, M., Maislin, G., & Powell, J. W. (1998). Final Report: Evaluation of Techniques for Ocular Measurement as an Index of Fatigue and as the Basis for Alertness Management (Report DOT HS 808 762). Washington, D.C.: National Highway Traffic Safety Administration
 
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Grace, R., Byrne, V. E., Bierman, D. M., Legrand, J. M., Gricourt, D. J., Davis, R. K., Staszewski, J. J., & Carnahan, B. (1999). A machine vision based drowsy-driver detection system for heavy vehicles. Proceedings of the Ocular Measures of Driver Alertness Conference, April 26--27, 1999, (FHWA-MC-99-136, pp. 75--86). Washington, D.C.: National Highway Traffic Safety Administration.
 
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Knipling, R. R., & Wierwille, W. W. (1994). Vehicle-based Drowsy Driver Detection: Current Status and Future Prospects. Paper presented at IVHS America fourth annual meeting, Atlanta, GA April 17--20, 1994.
 
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Dinges, D. F. (1989). The nature of sleepiness: Causes, contexts and consequences. In A. Stunkard and A. Baum (Eds.), Perspectives in Behavioral Medicine: Eating, Sleeping and Sex. Hillsdale, NJ: Erlbaum.
 
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Rosekind, M. R., Graeber, R, Dinges, D. F., Connell, L. J., Rountree, M. S., & Gillen, K. (1994). Crew Factors in Flight Operations IX: Effects of Planned Cockpit Rest on Crew Performance and Alertness in Long-Haul Operations. (NASA Technical Memorandum No. 108839). Moffett Field, CA: NASA Ames Research Center.
 
7
Jordan, P. W. (1998). An Introduction to Usability. Bristol, PA: Taylor & Francis LTD.
 
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Collaborative Colleagues:
Ellen M. Ayoob: colleagues
Richard Grace: colleagues
Aaron Steinfeld: colleagues