A5070305779- Human-Automation Interaction and Safety
- Traffic and Road Safety
- Older Adults Driving Studies
- Sleep and Work-Related Fatigue
- Autonomous Vehicle Technology and Safety
- Heart Rate Variability and Autonomic Control
- Real-time simulation and control systems
- Safety Warnings and Signage
- Transportation and Mobility Innovations
- Vehicle emissions and performance
- Real-Time Systems Scheduling
- Ergonomics and Musculoskeletal Disorders
- Software Testing and Debugging Techniques
- Wireless Networks and Protocols
- Non-Invasive Vital Sign Monitoring
- Stroke Rehabilitation and Recovery
- Mobile Agent-Based Network Management
- Noise Effects and Management
- Gaze Tracking and Assistive Technology
- Energy Efficient Wireless Sensor Networks
- Acute Ischemic Stroke Management
- Petri Nets in System Modeling
- Urban Transport and Accessibility
- Transportation Planning and Optimization
- ECG Monitoring and Analysis
Daegu Gyeongbuk Institute of Science and Technology
2008-2021
Pusan National University
1996-2019
Stanford University
2011
Objectives This is a qualitative study that attempted to understand the essence of phenomenon concerning dizziness in otolaryngology patients and its implications for experience. Methods Data collected using in-depth interviews observation methods six people, phenomenological method suggested by Colaizzi was used analyze data. Results The research resulted four thematic groups ten themes were derived. participants reported pain unexpected dizziness, difficulty with daily activities, worry...
The human factors of transition in highly automated driving is becoming crucial, because transitions between the driver and automation will remain a key element until fully replace manual operation. This paper aims to suggest framework investigate driving. classifies according initiator, control after transition, situation awareness. Based on framework, we retrieved previous studies categorized their experimental designs. inclusion criteria for review were which involved SAE level 3 research...
In this paper, we proposed a new road traffic sign detection model based on human-like selective attention mechanism for implementing interactive workload manager system. Since the boards have dominant color contrast against backgrounds, consider opponents and its edge information with center surround difference normalization as pre-processing, which is effective to intensify board characteristics well reduce background noise influence. After constructing saliency map using feature maps,...
Recent technological advances have made motor vehicles more intelligent to increase safety and comfort. An vehicle provides drivers with warning information through audible sounds, visual displays, tactile feedback. However, elderly often decreased cognitive psychomotor abilities in the areas such as hearing, eyesight, short-term memory, spatial perception. Therefore, possible age-related deficits should be considered when designing effective systems. This paper evaluates impact of advancing...
Two groups, aged 25-35 and 60-69, engaged in 3 levels of a delayed auditory recall task while driving simulated highway. Heart rate skin conductance increased with each level demand, demonstrating that these indices can correctly rank order cognitive workload. Effects were also observed on speed SD lane position, but they subtle, nonlinear, did not effectively differentiate. Patterns quite consistent across age groups. These findings the sensitivity physiological measures replicate those...
The automotive embedded system becomes even more complex and occupies portion of vehicle price lately. Therefore, industries apply a model-based approach for the development. improves quality reduces cycle time by using modeling its ability to simulate introduce early validation requirements. This paper describes automatic test generation execution techniques systems maximize capabilities development process. proposed can cover from functional high level model auto-generated software...
High cognitive workload decreases a driver's ability of judgement and response in traffic situation could result accident. Electrocardiography (ECG) has been used for evaluation drivers' workload; however, individual differences ECG corresponding to have not fully considered. The present study developed an method based on data, evaluated its usefulness through experiment driving simulator. by the determined optimal condition participant analysis area under receiver operating characteristic...
There has been recent interest in intelligent vehicle technologies, such as advanced driver assistance systems (ADASs) or in-vehicle information (IVISs) that offer a significant enhancement of safety and convenience to drivers passengers. However, unsuitable design HMI (Human Machine Interface) must increase distraction workload, which turn the chance traffic accidents. Distraction particular often occurs under heavy driving workload due multitasking with various electronic devices like cell...