Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open …
Driver distraction is one of the main causes of fatal traffic accidents. Therefore, the ability to
detect driver inattention is essential in building a safe yet intelligent transportation system …
detect driver inattention is essential in building a safe yet intelligent transportation system …
Human acceptance of autonomous vehicles: Research status and prospects
The technology for autonomous vehicles (AVs) has been advancing rapidly and is expected
to cause systematic changes in our modes of travel. An increasing number of studies have …
to cause systematic changes in our modes of travel. An increasing number of studies have …
Barriers to adopting automated organisational decision-making through the use of artificial intelligence
D Booyse, CB Scheepers - Management Research Review, 2023 - emerald.com
Purpose While artificial intelligence (AI) has shown its promise in assisting human decision,
there exist barriers to adopting AI for decision-making. This study aims to identify barriers in …
there exist barriers to adopting AI for decision-making. This study aims to identify barriers in …
Self supervised adversarial domain adaptation for cross-corpus and cross-language speech emotion recognition
Despite the recent advancement in speech emotion recognition (SER) within a single corpus
setting, the performance of these SER systems degrades significantly for cross-corpus and …
setting, the performance of these SER systems degrades significantly for cross-corpus and …
Public acceptance of autonomous vehicles: Examining the joint influence of perceived vehicle performance and intelligent in-vehicle interaction quality
Many nations' transportation strategies have highlighted the potential of autonomous
vehicles and have made plans to slowly phase them into societies over the next decade …
vehicles and have made plans to slowly phase them into societies over the next decade …
Public acceptance of driver state monitoring for automated vehicles: Applying the UTAUT framework
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 …
factors such as fatigue, workload, attentiveness, and wellbeing. They are influential for some …
Autovis: Enabling mixed-immersive analysis of automotive user interface interaction studies
P Jansen, J Britten, A Häusele… - Proceedings of the …, 2023 - dl.acm.org
Automotive user interface (AUI) evaluation becomes increasingly complex due to novel
interaction modalities, driving automation, heterogeneous data, and dynamic environmental …
interaction modalities, driving automation, heterogeneous data, and dynamic environmental …
[PDF][PDF] Trustworthy autonomous vehicles
D Fernández Llorca, E Gómez - Publications Office of the European Union …, 2021 - invett.es
This report aims to advance the discussion on those fundamental aspects to be considered
in order to have trustworthy Artificial Intelligence (AI) systems in the Automated/Autonomous …
in order to have trustworthy Artificial Intelligence (AI) systems in the Automated/Autonomous …
Evidence of automated vehicle safety's influence on people's acceptance of the automated driving technology
Existing studies identified targeted audiences showing increases in Automated Vehicles
(AV) acceptance after experiencing automated driving. However, there is still uncertainty …
(AV) acceptance after experiencing automated driving. However, there is still uncertainty …
Effects of uncertain trajectory prediction visualization in highly automated vehicles on trust, situation awareness, and cognitive load
Automated vehicles are expected to improve safety, mobility, and inclusion. User
acceptance is required for the successful introduction of this technology. One essential …
acceptance is required for the successful introduction of this technology. One essential …