聊天机器人的沟通方式如何影响公民向警察报告:在调查实验中测试程序司法和过度适应的方法
Callie Vitro1, Erin M Kearns1, Joel S Elson2
1School of Criminology and Criminal Justice, University of Nebraska Omaha.
Law and human behavior
|May 19, 2025
概括
测试了一个用于警察报告的聊天机器人. 高功率和高团结的沟通方式提高了报告准确性,但没有影响用户的信任或分享联系信息的意愿.
科学领域:
- 犯罪学 犯罪学
- 语言学的语言学.
- 人与计算机的交互
背景情况:
- 警方与公民的互动受益于沟通,平衡权力和团结.
- 聊天机器人越来越多地用于信息报告,但它们的沟通有效性尚未得到充分研究.
研究的目的:
- 开发和评估一个警察报告聊天机器人.
- 确定聊天机器人沟通风格 (权力和团结) 如何影响报告准确性,愿意提供联系信息和用户信任.
主要方法:
- 一项在线调查实验涉及950名美国成年人.
- 参与者向聊天机器人报告了一个模拟的事件,使用操纵的沟通风格 (2x2因数设计:权力和团结).
- 测量结果包括报告准确性,提供联系信息的意愿和用户信任.
主要成果:
- 高权力-高团结的沟通风格带来了最积极的结果.
- 在低功耗低团结条件下的报告对涉及的个人来说不那么准确.
- 聊天机器人的信任和愿意提供联系信息在通信条件之间没有显著差异.
结论:
- 聊天机器人沟通风格在警察报告场景中显著影响用户的反应.
- 调查结果为设计更有效和可靠的AI提供了信息,用于公共安全应用.
- 这项研究将犯罪学,语言学和信息技术联系起来,通过在执法环境中检查人工智能与人类的互动.
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