|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 choice - stop and rest.
Associated Center(s) / Consortia:
Vision and Autonomous Systems Center and Quality of Life Technology Center
Associated Lab(s) / Group(s): Human-Robot Interaction Group
Associated Project(s): Copilot
|Ellen M. Ayoob, Richard Grace, and Aaron Steinfeld, "A user-centered drowsy driver detection and warning system," Proceedings of Designing User Experiences (DUX), 2003.|
author = "Ellen M Ayoob and Richard Grace and Aaron Steinfeld",
title = "A user-centered drowsy driver detection and warning system",
booktitle = "Proceedings of Designing User Experiences (DUX)",
year = "2003",
|The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.|
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