TY - JOUR
T1 - Dynamics of Trust in Automation and Interactive Decision Making during Driving Simulation Tasks
AU - Rodriguez, Lucero Rodriguez
AU - Orellana, Carlos Bustamante
AU - Landfair, Jayci
AU - Magaldino, Corey
AU - Demir, Mustafa
AU - Amazeen, Polemnia G.
AU - Metcalfe, Jason S.
AU - Huang, Lixiao
AU - Kang, Yun
N1 - Publisher Copyright:
© 2021 by Human Factors and Ergonomics Society. All rights reserved.
PY - 2021
Y1 - 2021
N2 - As technological advancements and lowered costs make self-driving cars available to more people, it becomes important to understand the dynamics of human-automation interactions for safety and efficacy. We used a dynamical approach to examine data from a previous study on simulated driving with an automated driving assistant. To maximize effect size in this preliminary study, we focused the current analysis on the two lowest and two highest-performing participants. Our visual comparisons were the utilization of the automated system and the impact of perturbations. Low-performing participants toggled and maintained reliance either on automation or themselves for longer periods of time. Decision making of high-performing participants was using the automation briefly and consistently throughout the driving task. Participants who displayed an early understanding of automation capabilities opted for tactical use. Further exploration of individual differences and automation usage styles will help to understand the optimal human-automation-team dynamic and increase safety and efficacy.
AB - As technological advancements and lowered costs make self-driving cars available to more people, it becomes important to understand the dynamics of human-automation interactions for safety and efficacy. We used a dynamical approach to examine data from a previous study on simulated driving with an automated driving assistant. To maximize effect size in this preliminary study, we focused the current analysis on the two lowest and two highest-performing participants. Our visual comparisons were the utilization of the automated system and the impact of perturbations. Low-performing participants toggled and maintained reliance either on automation or themselves for longer periods of time. Decision making of high-performing participants was using the automation briefly and consistently throughout the driving task. Participants who displayed an early understanding of automation capabilities opted for tactical use. Further exploration of individual differences and automation usage styles will help to understand the optimal human-automation-team dynamic and increase safety and efficacy.
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U2 - 10.1177/1071181321651288
DO - 10.1177/1071181321651288
M3 - Conference article
AN - SCOPUS:85171256734
SN - 1071-1813
VL - 65
SP - 786
EP - 790
JO - Proceedings of the Human Factors and Ergonomics Society
JF - Proceedings of the Human Factors and Ergonomics Society
IS - 1
T2 - 65th Human Factors and Ergonomics Society Annual Meeting, HFES 2021
Y2 - 3 October 2021 through 8 October 2021
ER -