Tibbi-i-kar

---

Introduction: Annually, many people die or suffer from irreparable injuries in road accidents worldwide. One of the causes of accidents is drivers, cognitive factors and the vehicle color is one of the factors that affect the cognitive performance of the drivers. Therefore, this study aimed to investigate the relationship between vehicle color and type of accidents leading to death and injury.

Materials and Methods: This descriptive cross-sectional study was performed on 300 randomly selected cases of accidents in Kerman. Information including the manner of accident, name and color of vehicle, location, cause, time, area of protection, weekday, season and type of accident were collected from traffic police and traffic department statistics and analyzed by using SPSS software.

Results: The results of the study showed that most of the accidents occurred during daylight hours. Motorcycle, black and white vehicles had the highest and yellow and beige vehicles had the least frequency. There was no significant difference between vehicle color (dark and light) and other variables with the type of accidents leading to the driver's death and injury.

Conclusion: According to the results of this study, no significant relationship was observed between vehicle color (dark and light) and the type of accidents leading to death and injury on. One of the reasons seems to be the difference between the methods of statistical analysis. Further studies are needed to investigate the relationship between the type of accidents and vehicle color.

---

There is considerable potential between the field of artificial intelligence (AI) and cognitive ergonomics. The purpose of this thesis is to support increasing attention to the synergy between artificial intelligence and cognitive ergonomics, as well as the urgent need to explore it in research and practice.
Artificial intelligence (AI) has become an integral part of the modern workplace, transforming industries, increasing productivity, and streamlining processes. However, as AI technologies continue to evolve, it is essential to consider the human side of this digital transformation. Ergonomics, the science of designing workspaces and tools that fit the people who use them, is a critical element in ensuring that the integration of artificial intelligence into the workplace increases employee well-being, efficiency, and overall success.
With its rapid advancements, artificial intelligence is revolutionizing various fields and industries, from healthcare to self-driving vehicles and financial services. While the potential benefits are obvious, the ethical, cognitive, and ergonomic implications are just as important. Cognitive ergonomics is a sub-branch of ergonomics that deals with the design and evaluation of systems and technologies that support human cognitive processes such as perception, attention, memory, and decision-making. The field of cognitive ergonomics, which primarily focuses on Optimizing human-system interaction is the key to ensuring that artificial intelligence systems are designed and implemented in a way that aligns with human capacities, abilities, and cognitive limitations . Current AI implementations typically adopt a technology-driven focus, and employees are expected to adapt to the technology. In this technology-driven focus, the performance, performance, and accuracy of AI are optimized, but these aspects are considered separately. This point of view raises various critical considerations that are often neglected in the design and implementation of advanced technologies and sometimes have disastrous consequences. From the point of view of ergonomics, the design of artificial intelligence should be transferred from a technology-oriented focus to a systemic and human perspective. By applying a focus on personnel, artificial intelligence should be meaningfully and safely designed and integrated into work processes with the aim of optimizing overall system performance and people's well-being.