Virtual reality in transportation and logistics: A clustering analysis of studies from 2010 to 2023 and future directions

EYC Wong, PTY Lee - Computers in Human Behavior, 2024 - Elsevier
Numerous studies have examined the utility of virtual reality (VR) technologies in the
transportation and logistics sector. However, no systematic and comprehensive review of …

When brain-computer interfaces meet the metaverse: Landscape, demonstrator, trends, challenges, and concerns

SL Bernal, MQ Pérez, ETM Beltrán, GM Pérez… - Neurocomputing, 2025 - Elsevier
The metaverse has gained tremendous popularity in recent years, allowing the
interconnection of users worldwide. However, current systems in metaverse scenarios, such …

Adaptivevoice: Cognitively adaptive voice interface for driving assistance

S Wen, S **, J Wang, HN Liang, X Xu… - Proceedings of the 2024 …, 2024 - dl.acm.org
Current voice assistants present messages in a predefined format without considering users'
mental states. This paper presents an optimization-based approach to alleviate this issue …

How does simulation-based testing for self-driving cars match human perception?

C Birchler, TK Mohammed, P Rani, T Nechita… - Proceedings of the …, 2024 - dl.acm.org
Software metrics such as coverage or mutation scores have been investigated for the
automated quality assessment of test suites. While traditional tools rely on software metrics …

Gaze supervision for mitigating causal confusion in driving agents

A Biswas, BA Pardhi, C Chuck, J Holtz… - 2024 IEEE Intelligent …, 2024 - ieeexplore.ieee.org
Imitation Learning (IL) algorithms such as behavior cloning are a promising direction for
learning human-level driving behavior. However, these approaches do not explicitly infer the …

Characterizing drivers' peripheral vision via the functional field of view for intelligent driving assistance

A Biswas, H Admoni - 2023 IEEE Intelligent Vehicles …, 2023 - ieeexplore.ieee.org
Many intelligent driver assistance algorithms try to improve on-road safety by using driver
eye gaze, commonly using foveal gaze as an estimate of human attention. While human …

[PDF][PDF] JOAN: A framework for human-automated vehicle interaction experiments in a virtual reality driving simulator

N Beckers, O Siebinga, J Giltay… - Journal of Open Source …, 2023 - joss.theoj.org
With the rapid development of automated driving systems, human drivers will soon have to
share the road, and interact with, autonomous vehicles (AVs). To design AVs that can be …

Modeling Drivers' Situational Awareness from Eye Gaze for Driving Assistance

A Biswas, P Gupta, S Khurana, D Held… - 8th Annual Conference …, 2024 - openreview.net
Intelligent driving assistance can alert drivers to objects in their environment; however, such
systems require a model of drivers' situational awareness (SA)(what aspects of the scene …

Experimenting with an Efficient Driver Behaviour Dynamical Model Applicable to Simulated Lane Changing Tasks

M Jirgl, O Mihálik, S Boujenfa, Z Bradáč… - IEEE Access, 2024 - ieeexplore.ieee.org
We test an approach to modelling the car driver behaviour during simulated lane changing
tasks, aiming to obtain a sufficiently precise model in the simplest possible form, namely …