TY - GEN
T1 - Exploring the use of augmented reality interfaces for driver assistance in short-notice takeovers
AU - Lindemann, Patrick
AU - Muller, Niklas
AU - Rigolll, Gerhard
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - With conditionally automated vehicles (Level 3), drivers are still required to be ready to intervene upon a takeover request (TOR) and face the difficulty of achieving their optimal performance level directly after a passive phase. In this work, we examine the effects of using an augmented reality (AR) interface with world-registered visualizations to assist drivers in the last moments before a takeover and in the first seconds of controlling the vehicle. We focus on urban situations with an unplanned, short-notice TOR and created three distinct example scenarios in a mixed-reality driving simulation. We present a prototype of an AR assistance system realized on a simulated windshield display (WSD). In a user study, we compare the AR system to a conventional head-down display (HDD) and present results on driving performance, driver workload and usability. The AR assistant enabled higher lateral performance and reduced workload in situations where steering is required directly after takeover but prolonged reaction time when only fast longitudinal input was required. The AR interface performed better than the HDD in most user-centered aspects including comfort of use and helpfulness.
AB - With conditionally automated vehicles (Level 3), drivers are still required to be ready to intervene upon a takeover request (TOR) and face the difficulty of achieving their optimal performance level directly after a passive phase. In this work, we examine the effects of using an augmented reality (AR) interface with world-registered visualizations to assist drivers in the last moments before a takeover and in the first seconds of controlling the vehicle. We focus on urban situations with an unplanned, short-notice TOR and created three distinct example scenarios in a mixed-reality driving simulation. We present a prototype of an AR assistance system realized on a simulated windshield display (WSD). In a user study, we compare the AR system to a conventional head-down display (HDD) and present results on driving performance, driver workload and usability. The AR assistant enabled higher lateral performance and reduced workload in situations where steering is required directly after takeover but prolonged reaction time when only fast longitudinal input was required. The AR interface performed better than the HDD in most user-centered aspects including comfort of use and helpfulness.
UR - http://www.scopus.com/inward/record.url?scp=85072273342&partnerID=8YFLogxK
U2 - 10.1109/IVS.2019.8814237
DO - 10.1109/IVS.2019.8814237
M3 - Conference contribution
AN - SCOPUS:85072273342
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 804
EP - 809
BT - 2019 IEEE Intelligent Vehicles Symposium, IV 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th IEEE Intelligent Vehicles Symposium, IV 2019
Y2 - 9 June 2019 through 12 June 2019
ER -