This study proposes the integration of artificial intelligence (AI), specifically reinforcement learning and immersive human-computer interaction, to enhance crime scene investigation (CSI) training and assessment in public security colleges and universities. By incorporating these technologies, the aim is to provide a more systematic, scientific, and efficient learning experience for students, while ensuring fair and impartial evaluation. The technical roadmap and implementation strategy for applying AI and immersive interaction in CSI training are outlined, along with an application plan for different stages of the training and assessment process. This integration seeks to standardize and optimize CSI training, improving both intelligence and efficiency while ensuring fairness in evaluations.
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| http://dx.doi.org/10.1016/j.forsciint.2024.112296 | DOI Listing |
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