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Emotion-matched in-vehicle assistants: an exploration in regulating drivers' incidental emotions and enhancing takeover performance and situational awareness
In conditional autonomous driving, drivers are prone to experiencing incidental emotions during non-driving tasks, which are unrelated to driving...
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The Relationship Between Older Drivers’ Cognitive Ability and Takeover Performance in Conditionally Automated Driving
In takeover process of conditionally automated driving, cognitive abilities, especially the executive function abilities, are found to play a...
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Visual or Auditory First? The Modality Shift Effect in Two-Stage Takeover Warning
Two-stage warning systems play a crucial role in ensuring safe and stable takeovers in conditional automated driving when drivers are engaged in...
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User Experience Evaluation Indicators for Automotive Autonomous Driving Takeover System
Automotive automation technology reduces the burden on humans, it also introduces new human factors and difficulties such as low or excessive...
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How to Determine the Time-Intervals of Two-Stage Warning Systems in Different Traffic Densities? An Investigation on the Takeover Process in Automated Driving
In level 3 automated driving, the warning systems played a critical role in reminding drivers who were engaging in non-driving-related tasks to take...
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Exploring the Impact of Interpretable Information Types on Driver's Situational Awareness and Performance During Driving Take-Over
In Level 3 (L3) autonomous driving, the system issues a take-over request to the driver if the Automated Driving System (ADS) fails or operates...
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The Relationship Between Drowsiness Level and Takeover Performance in Automated Driving
Although automated driving systems can perform dynamic driving tasks, at its lower levels, human drivers must still take over control of the vehicle...
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Will I start an automated driving system? Report on the emotions, cognition, and intention of drivers who experienced real-world conditional automated driving
The automotive market today has seen the entry of Level-3 conditional automated driving vehicles equipped with an automated driving system that waits...
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Multimodal Takeover Request Displays for Semi-automated Vehicles: Focused on Spatiality and Lead Time
To investigate the full potential of non-speech sounds, this study explored the effects of different multimodal takeover request displays in...
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Designing Two-Stage Warning Systems: The Effect of Hazard Information
Warning system design is critical to road safety in the automated driving takeover process. Two-stage warning system had been proposed to be an...
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Design friction in autonomous drive—exploring transitions between autonomous and manual drive in non-urgent situations
In the ongoing turn to automation, the growing trend towards the design of conditionally and highly automated vehicles (C/HAV) is evident. In a CAV,...
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Impacts of Training Methods and Experience Types on Drivers’ Mental Models and Driving Performance
Training for driver in automated vehicle (AV) systems is considered an effective way to establishing correct driver mental models and enhancing the...
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Effect of swarm density on collective tracking performance
How does the size of a swarm affect its collective action? Despite being arguably a key parameter, no systematic and satisfactory guiding principles...
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Refining Detection Mechanism of Mobile Money Fraud Using MoMTSim Platform
Mobile money financial crime evolves in various forms including account takeover fraud, refund fraud, and fake credentials, which poses challenges in...
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A fast look-up method for Bayesian mean-parameterised Conway–Maxwell–Poisson regression models
Count data that are subject to both under and overdispersion at some hierarchical level cannot be readily accommodated by classic models such as...
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Sharding for Scalable Blockchain Networks
Blockchain technology has been extended from bitcoin transactions to applications in multiple domains. Scalability has been identified as a major...
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Age-Related Differences in Takeover Request Modality Preferences and Attention Allocation During Semi-autonomous Driving
Adults aged 65 years and older are the fastest growing age group worldwide. Future autonomous vehicles may help to support the mobility of older...
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Collaborative Work with Highly Automated Marine Navigation Systems
In navigation applications, Artificial Intelligence (AI) can improve efficiency and decision making. It is not clear, however, how designers should...
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When terminology hinders research: the colloquialisms of transitions of control in automated driving
During the last 20 years, technological advancement and economic interests have motivated research on automated driving and its impact on drivers’...
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Study on Drivers’ Situation Awareness in a Glance During Automated Driving
Driving automation leads to meaningful changes in the role of the driver, from the primary party responsible for executing all dynamic driving tasks...