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SHRP2 NEST Database: Exploring Conditions of Secondary Task Engagement in Naturalistic Trip Data

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Birsen DonmezAuthors Info & Claims

AutomotiveUI '16 Adjunct: Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Pages 185 - 190

https://doi.org/10.1145/3004323.3004345

Published: 24 October 2016 Publication History

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Abstract

The Strategic Highway Research Program 2 (SHRP2) can provide unique information on how driver behavior leads to crashes or near-crashes. A subset of this dataset was created to examine naturalistic engagement in secondary tasks (NEST; Owens, Angell, Hankey, Foley, & Ebe, 2015). The NEST dataset is composed of crash and near-crash epochs which have identified secondary tasks as a contributing factor and contains 20 seconds of coding before a crash or near-crash. The present analysis aims to identify high level prevalence characteristics of the dataset. This analysis focuses on the prevalence of secondary task engagement alone, during adverse weather, and during different traffic densities. Additionally, task occurrence with other tasks (i.e., comorbidity) is considered. Overall, the results indicate that some factors (e.g., weather, traffic density) can influence a driver's decision to engage in certain secondary tasks.

References

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B. Wandtner, M. Schumacher, & E.A. Schmidt, 2016. The role of self-regulation in the context of driver distraction: a simulator study. Traffic Injury Prevention, 17, 472--479.

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E. Tivesten, & M. Dozza, 2015. Driving context influences drivers' decision to engage in visual--manual phone tasks: Evidence from a naturalistic driving study. Journal of Safety Research, 53, 87--96.

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J.M. Owens, L. Angell, J.M. Hankey, J. Foley, & K. Ebe, 2015. Creation of the naturalistic engagement in secondary task (NEST) distracted driving dataset. Journal of Safety Research, 54, 33--36.

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J. Foley, C. Zhang, T. Sayer, & J. Domeyer, 2016. Naturalistic engagement in secondary tasks (NEST) distracted driving database. Poster presented at the Transportation Research Board Annual Meeting 2016.

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Cited By

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Seaman SGershon PAngell LMehler BReimer B(2022)Non-Driving-Related Task Engagement: The Role of SpeedSafety10.3390/safety80200348:2(34)Online publication date: 3-May-2022
https://doi.org/10.3390/safety8020034
Almannaa MBareiss MRiexinger LGuo F(2022)In-Depth Evaluation of Association between Crash and Hand Arthritis via Naturalistic Driving StudyApplied Sciences10.3390/app12231207912:23(12079)Online publication date: 25-Nov-2022
https://doi.org/10.3390/app122312079
Zdravkovic JIlic NStojanovic D(2021)Big Telemetry Data Analytics for Vehicle Fault Detection2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)10.1109/TELSIKS52058.2021.9606415(245-248)Online publication date: 20-Oct-2021
https://doi.org/10.1109/TELSIKS52058.2021.9606415
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Index Terms

SHRP2 NEST Database: Exploring Conditions of Secondary Task Engagement in Naturalistic Trip Data
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

AutomotiveUI '16 Adjunct: Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

October 2016

245 pages

ISBN:9781450346542

DOI:10.1145/3004323

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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SIGCHI: ACM Special Interest Group on Computer-Human Interaction
University of Michigan: University of Michigan

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Association for Computing Machinery

New York, NY, United States

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Published: 24 October 2016

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AutomotiveUI'16

AutomotiveUI'16: 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

October 24 - 26, 2016

MI, Ann Arbor, USA

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Seaman SGershon PAngell LMehler BReimer B(2022)Non-Driving-Related Task Engagement: The Role of SpeedSafety10.3390/safety80200348:2(34)Online publication date: 3-May-2022
https://doi.org/10.3390/safety8020034
Almannaa MBareiss MRiexinger LGuo F(2022)In-Depth Evaluation of Association between Crash and Hand Arthritis via Naturalistic Driving StudyApplied Sciences10.3390/app12231207912:23(12079)Online publication date: 25-Nov-2022
https://doi.org/10.3390/app122312079
Zdravkovic JIlic NStojanovic D(2021)Big Telemetry Data Analytics for Vehicle Fault Detection2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)10.1109/TELSIKS52058.2021.9606415(245-248)Online publication date: 20-Oct-2021
https://doi.org/10.1109/TELSIKS52058.2021.9606415
Chang YBharadwaj NEdara PSun C(2020)Exploring Contributing Factors of Hazardous Events in Construction Zones Using Naturalistic Driving Study DataIEEE Transactions on Intelligent Vehicles10.1109/TIV.2020.29807415:3(519-527)Online publication date: Sep-2020
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Risteska MDonmez BW. Chen HModi M(2018)Prevalence of Engagement in Single versus Multiple Types of Secondary Tasks: Results from the Naturalistic Engagement in Secondary Task (NEST) DatasetTransportation Research Record: Journal of the Transportation Research Board10.1177/03611981187913942672:37(1-10)Online publication date: 22-Aug-2018
https://doi.org/10.1177/0361198118791394
Azevedo-Sa HZhao HEsterwood CYang JTilbury DRobert L(undefined)How Internal and External Risks Affect the Relationships Between Trust and Driver Behavior in Automated Driving SystemsSSRN Electronic Journal10.2139/ssrn.3769197
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Abstract

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Recommendations

Effects of a Preventive Warning Light System for Near-Miss Incidents

Influence of Nonvisual Secondary Tasks on Driver's Pedestrian Detection

Speech Feedback Reduces Driver Distraction Caused by In-vehicle Visual Interfaces

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