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人工智能个性化及其对在线徒行为的影响
Florin Mihai1, Ofelia Ema Aleca1, Daniel-Marius Iordache1
1Management Information Systems Department, Faculty of Accounting and Management Information Systems, Bucharest University of Economic Studies, 010552 Bucharest, Romania.
Behavioral sciences (Basel, Switzerland)
|June 26, 2025
概括
博网站上的算法个性化可能会影响用户行为,影响风险感知和博持久性. 用户行为的变化表明个性化动态正在演变,这引发了伦理和监管问题.
科学领域:
- 行为经济学是一种行为经济学.
- 数字技术技术数字技术的使用
- 博研究 博研究
背景情况:
- 算法个性化在在线博平台上越来越普遍.
- 技术进步可能会影响与博行为相关的用户认知和动机过程.
研究的目的:
- 探索算法个性化,可能包括人工智能,如何影响在线博平台上的用户行为.
- 检查与个性化动态有关的风险感知,决策和注持久性的变化.
主要方法:
- 利用来自博平台的行为数据的普通最小方形 (OLS) 和面板回归模型.
- 进行了2016年至2021年间用户行为的时间比较,以推断个性化效应.
- 解释行为变化表明正在演变的个性化动态,承认没有直接的AI干预元数据.
主要成果:
- 收到个性化奖金或提前取款决定的用户在注大小和注频率上表现出系统的调整.
- 观察到的行为模式表明技术增强策略的潜在间接影响.
- 识别了用户行为中的变化,表明随着时间的推移,个性化动态的演变.
结论:
- 算法个性化可能间接影响博行为,导致投注模式的系统调整.
- 调查结果引发了关于用户自主权,算法透明度和对高风险徒的保护的重大伦理和监管问题.
- 建议使用实验和日志级数据进行进一步的研究,以精确分析算法效应并制定负责任的博策略.
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