{"title":"智能技术与法医学的结合:利用数字模拟加强犯罪现场调查。","authors":"Jing Ma","doi":"10.1016/j.forsciint.2024.112296","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":12341,"journal":{"name":"Forensic science international","volume":"365 ","pages":"Article 112296"},"PeriodicalIF":2.2000,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Smart tech meets forensics: Enhancing crime scene investigation with digital simulations\",\"authors\":\"Jing Ma\",\"doi\":\"10.1016/j.forsciint.2024.112296\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":12341,\"journal\":{\"name\":\"Forensic science international\",\"volume\":\"365 \",\"pages\":\"Article 112296\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Forensic science international\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0379073824003785\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, LEGAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic science international","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0379073824003785","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, LEGAL","Score":null,"Total":0}
Smart tech meets forensics: Enhancing crime scene investigation with digital simulations
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.
期刊介绍:
Forensic Science International is the flagship journal in the prestigious Forensic Science International family, publishing the most innovative, cutting-edge, and influential contributions across the forensic sciences. Fields include: forensic pathology and histochemistry, chemistry, biochemistry and toxicology, biology, serology, odontology, psychiatry, anthropology, digital forensics, the physical sciences, firearms, and document examination, as well as investigations of value to public health in its broadest sense, and the important marginal area where science and medicine interact with the law.
The journal publishes:
Case Reports
Commentaries
Letters to the Editor
Original Research Papers (Regular Papers)
Rapid Communications
Review Articles
Technical Notes.