z-logo
open-access-imgOpen Access
Self-Interruptions of Non-Driving Related Tasks in Automated Vehicles: Mobile vs Head-Up Display
Author(s) -
Michael A. Gerber,
Ronald Schroeter,
Xiaomeng Li,
Mohammed Elhenawy
Publication year - 2020
Publication title -
qut eprints (queensland university of technology)
Language(s) - English
Resource type - Conference proceedings
ISBN - 978-1-4503-6708-0
DOI - 10.1145/3313831.3376751
Subject(s) - interrupt , computer science , task (project management) , head up display , human–computer interaction , interleaving , driving simulator , eye tracking , task analysis , driving simulation , mobile device , simulation , artificial intelligence , embedded system , engineering , world wide web , operating system , systems engineering , microcontroller
Automated driving raises new human factors challenges. There is a paradox that allows drivers to perform non-driving related tasks (NDRTs), while benefiting from a driver who regularly attends to the driving task. Systems that aim to better manage a driver's attention, encouraging task switching and interleaving, may help address this paradox. However, a better understanding of how drivers self-interrupt while engaging in NDRTs is required to inform such systems. This paper presents a counterbalanced within-subject simulator study with N=42 participants experiencing automated driving in a familiar driving environment. Participants chose a TV show to watch on a HUD and mobile display during two 15min drives on the same route. Eye and head tracking data revealed more self-interruptions in the HUD condition, suggesting a higher likelihood of a higher situation awareness. Our results may benefit the design of future attention management systems by informing the visual and temporal integration of the driving and non-driving related task.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom