How to increase automated vehicles' acceptance through in-vehicle interaction design: A review

H Detjen, S Faltaous, B Pfleging, S Geisler… - … Journal of Human …, 2021 - Taylor & Francis
Automated vehicles (AVs) are on the edge of being available on the mass market. Research
often focuses on technical aspects of automation, such as computer vision, sensing, or …

[HTML][HTML] Structural analysis of driver fatigue behavior: a systematic review

H Zhang, D Ni, N Ding, Y Sun, Q Zhang, X Li - Transportation research …, 2023 - Elsevier
Fatigue is always accompany with the driving task, which have been extensively
investigated for driver monitoring and traffic safety. While many scholars dedicate to the …

Automation expectation mismatch: Incorrect prediction despite eyes on threat and hands on wheel

TW Victor, E Tivesten, P Gustavsson… - Human …, 2018 - journals.sagepub.com
Objective: The aim of this study was to understand how to secure driver supervision
engagement and conflict intervention performance while using highly reliable (but not …

Do autonomous vehicles drive like humans? A Turing approach and an application to SAE automation Level 2 cars

E Cascetta, A Carteni, L Di Francesco - Transportation research part C …, 2022 - Elsevier
Fully automated vehicles (AVs) are set to become a reality in future decades and changes
are to be expected in user perceptions and behavior. While AV acceptability has been …

[HTML][HTML] A model for naturalistic glance behavior around Tesla Autopilot disengagements

A Morando, P Gershon, B Mehler, B Reimer - Accident Analysis & …, 2021 - Elsevier
Objective We present a model for visual behavior that can simulate the glance pattern
observed around driver-initiated, non-critical disengagements of Tesla's Autopilot (AP) in …

Investigating explanations in conditional and highly automated driving: The effects of situation awareness and modality

L Avetisyan, J Ayoub, F Zhou - … research part F: traffic psychology and …, 2022 - Elsevier
With the level of automation increases in vehicles, such as conditional and highly automated
vehicles (AVs), drivers are becoming increasingly out of the control loop, especially in …

Public acceptance of driver state monitoring for automated vehicles: Applying the UTAUT framework

J Smyth, H Chen, V Donzella, R Woodman - Transportation research part F …, 2021 - Elsevier
Driver state monitoring (DSM) systems aim to measure driver/occupant state, considering
factors such as fatigue, workload, attentiveness, and wellbeing. They are influential for some …

[HTML][HTML] Teleoperation of highly automated vehicles in public transport: User-centered design of a human-machine interface for remote-operation and its expert …

C Kettwich, A Schrank, M Oehl - Multimodal Technologies and Interaction, 2021 - mdpi.com
Paving the way to future mobility, teleoperation of vehicles promises a reachable solution to
effectively use the benefits of automated driving as long as fully automated vehicles (SAE 5) …

[HTML][HTML] Using pupillometry and gaze-based metrics for understanding drivers' mental workload during automated driving

V Radhakrishnan, T Louw, RC Gonçalves… - … research part F: traffic …, 2023 - Elsevier
This Horizon2020-funded driving simulator-based study on automated driving investigated
the effect of different car-following scenarios, and takeover situations, on drivers' mental …

Evaluating driver eye glance behavior and secondary task engagement while using driving automation systems

AM Noble, M Miles, MA Perez, F Guo… - Accident Analysis & …, 2021 - Elsevier
Partial driving automation systems are designed to assist drivers in some vehicle operation
demands. However, modifications to the driving task that change the driver's role from that of …