These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

456 related articles for article (PubMed ID: 27686942)

  • 21. Modeling takeover behavior in level 3 automated driving via a structural equation model: Considering the mediating role of trust.
    Jin M; Lu G; Chen F; Shi X; Tan H; Zhai J
    Accid Anal Prev; 2021 Jul; 157():106156. PubMed ID: 33957474
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Effects of Non-Driving Related Task Modalities on Takeover Performance in Highly Automated Driving.
    Wandtner B; Schömig N; Schmidt G
    Hum Factors; 2018 Sep; 60(6):870-881. PubMed ID: 29617161
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Driver behavior and mental workload for takeover safety in automated driving: ACT-R prediction modeling approach.
    Oh H; Yun Y; Myung R
    Traffic Inj Prev; 2024; 25(3):381-389. PubMed ID: 38252064
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Examining physiological responses across different driving maneuvers during an on-road driving task: a pilot study comparing older and younger drivers.
    Koppel S; Kuo J; Berecki-Gisolf J; Boag R; Hue YX; Charlton JL
    Traffic Inj Prev; 2015; 16():225-33. PubMed ID: 24949653
    [TBL] [Abstract][Full Text] [Related]  

  • 25. The effects of takeover request lead time on drivers' situation awareness for manually exiting from freeways: A web-based study on level 3 automated vehicles.
    Tan X; Zhang Y
    Accid Anal Prev; 2022 Apr; 168():106593. PubMed ID: 35180465
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Behavioral Changes to Repeated Takeovers in Highly Automated Driving: Effects of the Takeover-Request Design and the Nondriving-Related Task Modality.
    Roche F; Somieski A; Brandenburg S
    Hum Factors; 2019 Aug; 61(5):839-849. PubMed ID: 30517032
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures.
    McDonald AD; Alambeigi H; Engström J; Markkula G; Vogelpohl T; Dunne J; Yuma N
    Hum Factors; 2019 Jun; 61(4):642-688. PubMed ID: 30830804
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Effective cues for accelerating young drivers' time to transfer control following a period of conditional automation.
    Wright TJ; Agrawal R; Samuel S; Wang Y; Zilberstein S; Fisher DL
    Accid Anal Prev; 2018 Jul; 116():14-20. PubMed ID: 29031513
    [TBL] [Abstract][Full Text] [Related]  

  • 29. The impact of non-driving related tasks on the development of driver sleepiness and takeover performances in prolonged automated driving.
    Pan H; He H; Wang Y; Cheng Y; Dai Z
    J Safety Res; 2023 Sep; 86():148-163. PubMed ID: 37718042
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Impact of non-driving related tasks while operating automated driving systems (ADS): A systematic review.
    Hungund AP; Kumar Pradhan A
    Accid Anal Prev; 2023 Aug; 188():107076. PubMed ID: 37150132
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Gaze entropy metrics for mental workload estimation are heterogenous during hands-off level 2 automation.
    Goodridge CM; Gonçalves RC; Arabian A; Horrobin A; Solernou A; Lee YT; Lee YM; Madigan R; Merat N
    Accid Anal Prev; 2024 Jul; 202():107560. PubMed ID: 38677239
    [TBL] [Abstract][Full Text] [Related]  

  • 32. The role of self-regulation in the context of driver distraction: A simulator study.
    Wandtner B; Schumacher M; Schmidt EA
    Traffic Inj Prev; 2016 Jul; 17(5):472-9. PubMed ID: 27082493
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Older driver distraction: a naturalistic study of behaviour at intersections.
    Charlton JL; Catchlove M; Scully M; Koppel S; Newstead S
    Accid Anal Prev; 2013 Sep; 58():271-8. PubMed ID: 23332726
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control.
    Eriksson A; Stanton NA
    Hum Factors; 2017 Jun; 59(4):689-705. PubMed ID: 28124573
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Enhancing safety in conditionally automated driving: Can more takeover request visual information make a difference in hazard scenarios with varied hazard visibility?
    Huang WC; Fan LH; Han ZJ; Niu YF
    Accid Anal Prev; 2024 Sep; 205():107687. PubMed ID: 38943983
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Olfactory Facilitation of Takeover Performance in Highly Automated Driving.
    Tang Q; Guo G; Zhang Z; Zhang B; Wu Y
    Hum Factors; 2021 Jun; 63(4):553-564. PubMed ID: 31999480
    [TBL] [Abstract][Full Text] [Related]  

  • 37. In a heart beat: Using driver's physiological changes to determine the quality of a takeover in highly automated vehicles.
    Alrefaie MT; Summerskill S; Jackon TW
    Accid Anal Prev; 2019 Oct; 131():180-190. PubMed ID: 31302486
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Effect of age and secondary task engagement on motor vehicle crashes in a naturalistic setting.
    Calvo JA; Baldwin C; Philips B
    J Safety Res; 2020 Jun; 73():297-302. PubMed ID: 32563405
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Examining the Effects of Visibility and Time Headway on the Takeover Risk during Conditionally Automated Driving.
    Peng H; Chen F; Chen P
    Int J Environ Res Public Health; 2022 Oct; 19(21):. PubMed ID: 36360784
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Investigating the impact of driving automation systems on distracted driving behaviors.
    Dunn NJ; Dingus TA; Soccolich S; Horrey WJ
    Accid Anal Prev; 2021 Jun; 156():106152. PubMed ID: 33932819
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 23.