Using Matlab-based Driving Simulator for Human Factor Assessment
DOI: 10.1016/j.ifacol.2019.12.727
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Summary
This paper addresses the application of simulation technologies for human factor assessment, specifically within the context of driving tasks. The authors highlight the growing importance of simulators in diverse fields, such as flight training and critical industrial operations, due to their ability to simulate complex systems under various conditions while maintaining safety and reliability. The primary motivation is to explore how simulation can be used to quantify human factors, including reaction delays and control attitudes, to better understand operator behavior and improve system safety. To investigate this, the researchers developed a simple car-driving simulator using MATLAB/Simulink. The system allows a human driver to control a simulated vehicle via Human-Computer Interface (HCI) devices, specifically a joystick or a steering wheel with pedals. The simulator visualizes the current driving situation, enabling the driver to perceive and react to the environment. The experimental design involved creating and implementing several testing scenarios that presented simple visual stimuli to the drivers. These scenarios were subsequently used to measure the drivers' responses, focusing on basic parameters of the human operator. The study analyzed the data acquired from these tests to evaluate fundamental human operator characteristics. Key metrics included reaction delay and the attitude toward control. By measuring responses to the designed visual stimuli, the researchers aimed to quantify how operators interact with the simulated environment. The results indicate that the developed MATLAB-based simulator is effective for capturing these basic human factor parameters. The findings suggest that this approach holds potential for conducting more complex experiments in the field of human factor assessment. The significance of this work lies in demonstrating the viability of using accessible simulation tools like MATLAB/Simulink for human-machine interface research. By providing a platform to measure and analyze human responses in a controlled, simulated environment, the study supports the broader goal of enhancing safety and reliability in systems where human operators play an essential role. The authors conclude that this methodology can serve as a foundation for more advanced tasks and detailed investigations into human cognition, behavior, and decision-making processes in critical applications.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | OpenAlex-citations | — | — | 1 | 2026-06-17 |
| archive | success | openalex | — | — | 5 | 2026-06-25 |
| extract | success | cached | — | — | 2 | 2026-06-25 |
| clean | success | clean | — | — | 1 | 2026-06-18 |
| chunk | success | chunk | — | — | 1 | 2026-06-18 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-18 |
| promote | success | — | — | — | 1 | 2026-06-17 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-25 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-18 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-25; verification: verified.
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- Methodological Resource: tool software, validation psychometrics
- Theoretical Contribution: computational model