Cited by 5Human-Automation Interaction and SafetyTraffic and Road SafetySleep and Work-Related Fatigue

The DOI matches its Crossref record.

Field and Simulator Evaluations of a PC-Based Attention Maintenance Training Program: (621762011-001)

Abstract

This report presents the results of three research studies regarding driver distraction from the forward roadway due to\nsecondary in-vehicle tasks. Study 1 included the development and evaluation of a PC-based training program named\nFOrward Concentration and Attention Learning (FOCAL). The computer program was designed to teach novice drivers to\nmanage their glances away from the roadway and to avoid extended glances over 2 seconds. Results of Study 1 demonstrated\nthat the FOCAL program was effective for changing glance behaviors as measured by the PC-based Attention Maintenance\nAssessment Program, also developed as part of Study 1. Study 2 was a field study on active roadways that evaluated the\nimpact of FOCAL on glance behaviors by comparing trained and untrained newly licensed young drivers. An advance eye\ntracking system was used to collect data on the glance behaviors of trained and untrained participants while driving on active\nroadways and completing a variety in-vehicle tasks. Results showed that drivers who received FOCAL training had\nsignificantly lower proportions of tasks with glances that exceeded various thresholds (i.e., 2 seconds, 2.5 seconds, 3\nseconds), and, collapsing across tasks, trained drivers had a lower proportion of glances over those thresholds compared to\nthe untrained group. In Study 3, essentially the same study protocol used in Study 2 was applied in a high-fidelity driving\nsimulator. Study 3 results showed a similar pattern of results to Study 2 with the trained group having significantly lower\nproportions of glances above the various glance duration thresholds. The magnitude of the differences between training\ngroups was, however, greater in the simulator than in the field. Together, the results from these three studies suggest that\nyoung drivers may benefit from training that addresses attention maintenance skills. A clear limitation of this project is that\nthe evaluations of the training always occurred immediately after training, so the extent to which the individuals retain any\nskill is unknown. The research also indicates that computer-based and simulator-based assessments are likely valid for\ntesting the attention maintenance skills of drivers. The findings support further development of FOCAL-like programs and\nfurther testing of FOCAL to determine if such training impacts the driving safety of younger drivers.\n

Overview

Integrity signals

Registry

Crossref · 10.1037/e621762011-001

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The most common effective interventions, documented in five studies, focused on one or more of three critical skills underpinning driving: hazard awareness, hazard mitigation, and attention maintenance.

    “The most common effective interventions, documented in five studies, focused on one or more of three critical skills underpinning driving: i.e., hazard awareness, hazard mitigation, and attention maintenance (45–49).”

Citations

Cited by

Sorted by citations

Metadata

Authors
Thomas, F. D., Pollatsek, S., Pradhan, A., Divekar, G., Blomberg, R. D., & Fisher, D.
Venue
PsycEXTRA Dataset
Published
2011
OpenAlex
W588738609
Cited by
5
References
0
Citations by year
2026: 1 · 2022: 1 · 2019: 2 · 2016: 1
Type
dataset
Language
en
Open access
closed
Locations
  • PsycEXTRA Dataset (publishedVersion)
  • ROSA P (submittedVersion)
Funders
  • U.S. Department of Transportation
  • National Highway Traffic Safety Administration
  • University of Massachusetts Amherst
Topics
  • Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
Keywords
driver distraction, sustained attention, glance behavior, in-vehicle tasks, novice drivers, young drivers, computer-based training, driving simulator, eye tracking, driver training, driving safety

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review