[HTML][HTML] Identifying interaction types and functionality for automated vehicle virtual assistants: An exploratory study using speech acts cluster analysis

JR Clark, DR Large, E Shaw, E Nichele, MJG Trigo… - Applied Ergonomics, 2024 - Elsevier
Onboard virtual assistants with the ability to converse with users are gaining favour in
supporting effective human-machine interaction to meet safe standards of operation in …

Architecture for determining the cleanliness in shared vehicles using an integrated machine vision and indoor air quality-monitoring system

N Jayawickrama, EP Ollé, J Pirhonen, R Ojala… - Journal of big …, 2023 - Springer
In an attempt to mitigate emissions and road traffic, a significant interest has been recently
noted in expanding the use of shared vehicles to replace private modes of transport …

Unravelling the Secret Language of Drivers: A Human-Centric Approach Towards Implicit Communication of Intention

MH Faramarzian Borojeni - 2024 - eprints.qut.edu.au
This research examines human-human cooperation during the driving task to inform the
design of automated vehicle (AV) human-machine interactions. It investigates how …

Automatic Interaction Detection Between Vehicles and Vulnerable Road Users During Turning at an Intersection

H Cheng, H Liu, F Shinmura, N Akai… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
Interaction detection between vehicles and vulnerable road users (eg pedestrians and
cyclists) is important for eg safety control and autonomous driving. However, there are many …

[PDF][PDF] Applied and laboratory-based autonomic and neurophysiological monitoring during sustained attention tasks

A Stephenson - 2021 - uwe-repository.worktribe.com
Fluctuations during sustained attention can cause momentary lapses in performance which
can have a significant impact on safety and wellbeing. However, it is less clear how …

Sub-Optimal Head Position Classification Using OpenVINO and SVM

RS Kalidindi, Y Koonjah, M Belcher… - SoutheastCon …, 2022 - ieeexplore.ieee.org
Improving our understanding of passenger-driver behavior during roadway driving is crucial
for advancing the development of effective autonomous vehicle technologies …