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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ahlstrom, C. Kircher, K. Kircher, A. |
| Copyright Year | 2000 |
| Abstract | Driver distraction is a contributing factor to many crashes; therefore, a real-time distraction warning system should have the potential to mitigate or circumvent many of these crashes. The objective of this paper is to investigate the usefulness of a real-time distraction detection algorithm called AttenD. The evaluation is based on data from an extended field study comprising seven drivers who drove on an average of 4351 ± 2181 km in a naturalistic setting. Visual behavior was investigated both on a global scale and on a local scale in the surroundings of each warning. An increase in the percentage of glances at the rear-view mirror and a decrease in the amount of glances at the center console were found. The results also show that visual time sharing decreased in duration from 9.94 to 9.20 s due to the warnings, that the time from fully attentive to warning decreased from 3.20 to 3.03 s, and that the time from warning to full attentiveness decreased from 6.02 to 5.46 s. The limited number of participants does not allow any generalizable conclusions, but a trend toward improved visual behavior could be observed. This is a promising start for further improvements of the algorithm and the warning strategy. |
| Sponsorship | IEEE Intelligent Transportation Systems Society |
| Starting Page | 965 |
| Ending Page | 973 |
| Page Count | 9 |
| File Size | 520139 |
| File Format | |
| ISSN | 15249050 |
| Volume Number | 14 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicles Visualization Alarm systems Mirrors Roads Real-time systems Safety field study Distraction warning driver distraction eye movements eye tracking |
| Content Type | Text |
| Resource Type | Article |
| Subject | Automotive Engineering Mechanical Engineering Computer Science Applications |
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