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Exploring Generalizability of Field Experiment Radio Tasks with Naturalistic Driving Data: A Comparison with SHRP2 NEST

Published: 24 October 2016 Publication History

Abstract

In this study we compare glance patterns observed in field experiment driving studies with glance patterns observed in the naturalistic SHRP 2 NEST database. We describe the methodology used to identify appropriate naturalistic epochs and to prepare glances for comparison to field experiment data, and graphically show points of similarity and points of contrast between the two sets of data. Overall, glance patterns observed in field experiments appear to hold in naturalistic data, with a few caveats. Using naturalistic glance data to validate experimentally-acquired glance data appears to show promise and provides confidence for conclusions drawn from behaviors observed in controlled on-road driving scenarios.

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Cited By

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  • (2022)How do the type and duration of distraction affect speed selection and crash risk? An evaluation using naturalistic driving dataAccident Analysis & Prevention10.1016/j.aap.2022.106854178(106854)Online publication date: Dec-2022
  • (2020)A Bayesian Reference Model for Visual Time-Sharing Behaviour in Manual and Automated Naturalistic DrivingIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2019.290043621:2(803-814)Online publication date: Feb-2020
  • (2020)Assessment of Secondary Tasks Based on Drivers’ Eye-Movement FeaturesIEEE Access10.1109/ACCESS.2020.3010797(1-1)Online publication date: 2020
  • Show More Cited By

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AutomotiveUI '16 Adjunct: Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
October 2016
245 pages
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 October 2016

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Author Tags

  1. Driver distraction
  2. driver glance behavior
  3. naturalistic driving study

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  • Work in progress
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  • Refereed limited

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AutomotiveUI'16

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Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

View all
  • (2022)How do the type and duration of distraction affect speed selection and crash risk? An evaluation using naturalistic driving dataAccident Analysis & Prevention10.1016/j.aap.2022.106854178(106854)Online publication date: Dec-2022
  • (2020)A Bayesian Reference Model for Visual Time-Sharing Behaviour in Manual and Automated Naturalistic DrivingIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2019.290043621:2(803-814)Online publication date: Feb-2020
  • (2020)Assessment of Secondary Tasks Based on Drivers’ Eye-Movement FeaturesIEEE Access10.1109/ACCESS.2020.3010797(1-1)Online publication date: 2020
  • (2019)Driving Simulator Validation for In-Vehicle Human Machine Interface AssessmentProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/107118131963143863:1(2104-2108)Online publication date: 20-Nov-2019

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