Field evaluation of a risk awareness and perception training program for younger drivers

2006 ◽  
Author(s):  
Anuj K. Pradhan ◽  
Donald L. Fisher ◽  
Alexander Pollatsek ◽  
Mike Knodler ◽  
Michelle Langone
Author(s):  
Anuj K. Pradhan ◽  
Donald L. Fisher ◽  
Alexander Pollatsek ◽  
Mike Knodler ◽  
Michelle Langone

Author(s):  
Catherine C. McDonald ◽  
Venk Kandadai ◽  
Helen Loeb ◽  
Thomas Seacrist ◽  
Yi-Ching Lee ◽  
...  

1974 ◽  
Vol 18 (4) ◽  
pp. 441-451
Author(s):  
A. S. Blaiwes ◽  
J. W. Rigney

The work reported here had three main objectives with respect to computer-administered instruction (CAI), viz., to make CAI: (1) easier to develop, (2) higher in quality, and (3) more widely appreciated and accepted. The approach taken toward these goals included two complementary kinds of efforts. One effort was directed toward designing guidelines and models of CAI which can assist training program developers in their efforts to implement CAI. Another effort was applied to the construction and field evaluation of a trainer which was based on descriptions and principles of CAI as contained in the guidelines and models. These efforts and some of their results are discussed here.


Author(s):  
Sarah Yahoodik ◽  
Yusuke Yamani

The interaction between top-down and bottom-up processing is a way to characterize control of visual attention, but it has not been extensively applied to the driving domain. The Risk Awareness and Perception Training (RAPT) has been effective in improving drivers’ latent hazard anticipation, a top-down process. However, it is unclear whether RAPT protects drivers from being distracted by salient items on the roadway, diminishing latent hazard anticipation. The current driving simulator study examines the potential interaction between bottom-up and top-down processes by having RAPT-and Placebo-trained drivers navigate simulated environments with latent hazards and a stationary or dynamically moving pedestrian. While RAPT-trained drivers were better able to anticipate latent hazards than Placebo-trained drivers, presence of salient, bottom-up stimuli did not negatively impact hazard anticipation performance in either group. This implies RAPT-trained drivers were able to successfully divide their attention, anticipating latent hazards even in the presence of dynamic, driving-relevant objects.


Author(s):  
Ravi Agrawal ◽  
Michael Knodler ◽  
Donald L. Fisher ◽  
Siby Samuel

The crash rate for young novice drivers is at least eight times higher than that of their experienced counterparts. Literature shows that the young novice drivers are not careless drivers but they are clueless drivers’ - clueless because of their inability to predict the risk ahead of time that might materialize on the forward roadway. Other error-feedback training programs exist that emphasize the teaching of risk awareness and perception skills to young drivers. In the current study, a Virtual reality based risk awareness and perception training program (V-RAPT) was developed on the Oculus Rift and evaluated on a driving simulator. The training program provides 360 degrees’ views of 6 high risk driving scenarios towards training the young driver to anticipate and mitigate latent hazards. Twenty-four participants in three experiment groups were trained on one of 3 training programs- VRAPT, RAPT and Control, and were evaluated on a driving simulator. Eye movements were collected throughout the experiment. The simulator evaluation drives included six near-transfer scenarios used in the training and four far-transfer scenarios not used in the training but validated previously in other similar studies. The young drivers trained on the V-RAPT were found to anticipate a significantly greater proportion (86.25%) of the potential latent hazards as compared to the RAPT trained young drivers (62.36%) and control trained drivers (30.97%). The VR-based training program is shown to be effective in improving young drivers’ ability to anticipate latent threats.


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