深度技术和更安全的博:系统审查
Leonor G Cardoso1, Beatriz C R Barroso2, Gloria Piccoli2
1CIR, E2S, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida n° 400, 4200-072, Porto, Portugal; Psychology Research Centre (CIPsi), School of Psychology, University of Minho, Building 14, Campus de Gualtar, 4710-057, Braga, Portugal.
Acta psychologica
|January 28, 2026
概括
包括人工智能和机器学习在内的深度技术可以通过监控行为和预测风险来提高在线博安全. 然而,对于有效的玩家保护,需要仔细考虑道德问题和实施挑战.
科学领域:
- 计算机科学 计算机科学
- 心理学 心理学 心理学
- 公共卫生 公共卫生
背景情况:
- 深度技术整合了工程和科学,以解决复杂的问题.
- 博行业面临着越来越多的挑战,因为越来越多的博行为和相关疾病.
- 关于深度技术在博中的具体应用和后果的知识有限.
研究的目的:
- 系统地审查在线博环境中关于深度技术的文献.
- 探索这些技术在促进更安全的博方面的潜在好处,风险和有效性.
- 确定实施深度技术保护玩家的关键应用和挑战.
主要方法:
- 按照系统性审查和元分析 (PRISMA) 准则的首选报告项目进行系统性文献审查.
- 在主要科学数据库 (Web of Science,PubMed,Scopus,EBSCO,IEEE) 和手动搜索中进行的搜索.
- 包括68项研究,研究在线场和博彩平台中的深度技术.
主要成果:
- 确定了四个主要应用:行为监测,预测风险建模,AI决策支持和限制设置工具.
- 技术被用来识别有问题的博,调节行为,并促进负责任的做法.
- 利益包括提高徒安全性和降低风险,以及隐私问题和错误分类风险等已识别的挑战.
结论:
- 深度技术为提高在线徒安全性和降低风险提供了重大机会.
- 实施挑战,包括道德考虑和数据隐私,需要谨慎管理.
- 需要进一步的研究来解决局限性问题,并优化这些技术的大规模应用,以保护玩家.
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