Driver-behavior modeling using on-road driving data: A new application for behavior signal processing

C Miyajima, K Takeda - IEEE Signal Processing Magazine, 2016 - ieeexplore.ieee.org
This article reviews data-centric approaches for statistical modeling of driver behavior.
Modeling driver behavior is challenging due to its stochastic nature and the high degree of …

Understanding user reliance on AI in assisted decision-making

S Cao, CM Huang - Proceedings of the ACM on Human-Computer …, 2022 - dl.acm.org
Proper calibration of human reliance on AI is fundamental to achieving complementary
performance in AI-assisted human decision-making. Most previous works focused on …

The effects of continuous driving-related feedback on drivers' response to automation failures

G Cohen-Lazry, A Borowsky… - Proceedings of the …, 2017 - journals.sagepub.com
During prolonged periods of autonomous driving, drivers tend to shift their attention away
from the driving task. As a result, they require more time to regain awareness of the driving …

Influences of different traffic information on driver behaviors while interacting with oncoming traffic in level 2 automated driving

B Yang, T Saito, Z Wang, S Kitazaki… - International Journal of …, 2024 - Taylor & Francis
To practically apply level 2 automated driving in complicated conditions including
intersections where events that require manual interventions occur frequently, it is necessary …

What attracts the driver's eye? Attention as a function of task and events

YB Eisma, DJ Eijssen, JCF de Winter - Information, 2022 - mdpi.com
This study explores how drivers of an automated vehicle distribute their attention as a
function of environmental events and driving task instructions. Twenty participants were …

Influences of Level 2 Automated Driving on Driver Behaviors: A Comparison With Manual Driving

B Yang, K Inoue, Z Yan, Z Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
It is becoming a common scene to observe the usages of level 2 automated driving in our
daily life. To ensure driving safety while using the level 2 automated driving systems in …

Variable selection and modeling of drivers' decision in overtaking behavior based on logistic regression model with gazing information

JC Nwadiuto, S Yoshino, H Okuda, T Suzuki - IEEE Access, 2021 - ieeexplore.ieee.org
This paper investigates the decision-making characteristics of the driver in the overtaking on
the highway road. For the research purpose, a novel method was proposed by introducing a …

Design of a knowledge-base strategy for capability-aware treatment of uncertainties of automated driving systems

DJ Chen, K Östberg, M Becker, H Sivencrona… - … on Computer Safety …, 2018 - Springer
Abstract Automated Driving Systems (ADS) represent a key technological advancement in
the area of Cyber-physical systems (CPS) and Embedded Control Systems (ECS) with the …

Using Markov chains to understand the sequence of drivers' gaze transitions during lane-changes in automated driving

R Gonçalves, T Louw, R Madigan… - Driving Assessment …, 2019 - pubs.lib.uiowa.edu
This paper reports the results of a driving simulator study, which analyzed differences in
drivers' raw gaze transition patterns during different stages of a lane-change maneuver …

Safety criteria analysis for negotiating blind corners in personal mobility vehicles based on driver's attention simulation on 3D map

N Akai, T Hirayama, LY Morales… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
In this study, we attempt to establish the numerical safety criteria for negotiating blind
corners in personal mobility vehicles (PMVs). Safety should be the most important …