Search

Navigator: RI | Publications | Identification of an appropriate drowsy driver detection interface for commercial vehicle operations

Graphics enhanced version of this site

Identification of an appropriate drowsy driver detection interface for commercial vehicle operations
E.M. Ayoob, A. Steinfeld, and R. Grace
Proceedings of the Human Factors and Ergonomics Society 47th Annual Meeting, 2003, pp. 1840-1844.

Jump to: Download | Abstract | Notes | Text Reference | BibTeX Reference


Download [Help]

Adobe portable document format (pdf) [1599 KB]

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.


Abstract

Considerable progress has been made in measuring drowsiness and understanding its effects upon human performance in the laboratory and in simulated and operational driving conditions. This work builds upon previous research and identifies an appropriate design for a drowsy driver detection interface. A participatory design process was used that included both design experts and drivers in separate focus groups. One expert activity, evaluations of candidate interaction flow models, and two driver activities, critical incident interviews and a design exercise, are described here. The conflict that arose between the drivers? desires and the desires of the scientific community is that the drivers viewed the system as a loyal servant that would alert the driver when he became drowsy, while the scientific community viewed the system as a trusted advisor that would encourage the driver to stop and rest. The final design has many features to address both of these views.


Notes

Associated center: NREC
Associated project: Copilot


Text Reference

E.M. Ayoob, A. Steinfeld, and R. Grace, "Identification of an appropriate drowsy driver detection interface for commercial vehicle operations," Proceedings of the Human Factors and Ergonomics Society 47th Annual Meeting, 2003, pp. 1840-1844.


BibTeX Reference

@inproceedings{Ayoob_2003_4799,
   author = "Ellen M Ayoob and Aaron Steinfeld and Richard Grace",
   title = "Identification of an appropriate drowsy driver detection interface for commercial vehicle operations",
   booktitle = "Proceedings of the Human Factors and Ergonomics Society 47th Annual Meeting",
   year = "2003",
   pages = "1840-1844"
}


The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.
For updates and comments, please see these instructions.
This page maintained by robotwebmaster@ri.cmu.edu