Collaborative Research: SaTC: CORE: Medium: Using Intelligent Conversational Agents to Empower Adolescents to be Resilient Against Cybergrooming
合作研究:SaTC:核心:中:使用智能会话代理使青少年能够抵御网络诱骗
基本信息
- 批准号:2330940
- 负责人:
- 金额:$ 85.51万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-03-01 至 2027-02-28
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Cybergrooming has emerged as a serious social concern, where perpetrators exploit the trust and emotional bond with youth through the internet for sexual exploitation or abuse. This project aims to address this issue by developing a technology-enhanced educational program to teach youth how to effectively protect themselves from online sexual predation. The novel contribution of this research is in the design and development of a conversational agent (i.e., chatbot) that teens interact with to practice (i.e., “learning-by-doing”) how to respond in ways that make them less vulnerable to cybergrooming advances. The conversational agent provides interactive coaching so that teens can understand responses that increase or decrease their vulnerability to sexual exploitation and explain why. The team is collecting examples of conversational data from parents and teens to train the conversational agent and uses natural language processing, to develop the chatbot. The research team works with teens and experts to conceptualize and design features to customize the interface of the chatbot and builds an educational program. The team partners with experts in cyber abuse and sex trafficking prevention to develop training materials and ensure that the conversational agent is safe for teens. This project research outcome will help the public understand how artificial intelligence can promote online safety.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
网络室已成为一个严重的社会关注,肇事者通过互联网利用与青年人的信任和情感联系,以进行性剥削或虐待。该项目旨在通过制定一项技术增强的教育计划来解决这个问题,以教青年如何有效保护自己免受在线性掠夺。这项研究的新颖贡献在于,青少年与实践互动(即“按锻炼”)互动的对话代理(即聊天机器人)的设计和开发如何以使他们不那么容易受到网络室进展的方式做出反应。对话剂提供互动教练,以便青少年可以理解增加或减少他们对性剥削的脆弱性并解释原因的反应。该团队正在收集父母和青少年的对话数据示例,以培训对话代理并使用自然语言处理来开发聊天机器人。研究团队与青少年和专家合作,概念化和设计功能,以自定义聊天机器人的界面并构建一个教育计划。该团队与预防网络滥用和性贩运方面的专家合作,以开发培训材料,并确保对话代理人对青少年安全。该项目研究成果将有助于公众了解人工智能如何促进在线安全。该奖项反映了NSF的法定任务,并使用基金会的知识分子优点和更广泛的影响审查标准,被认为值得通过评估来获得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据
数据更新时间:2024-06-01
Jin-Hee Cho其他文献
Graphical security modelling for Autonomous Vehicles: A novel approach to threat analysis and defence evaluation
- DOI:10.1016/j.cose.2024.10422910.1016/j.cose.2024.104229
- 发表时间:2025-03-012025-03-01
- 期刊:
- 影响因子:
- 作者:Nhung H. Nguyen;Mengmeng Ge;Jin-Hee Cho;Terrence J. Moore;Seunghyun Yoon;Hyuk Lim;Frederica Nelson;Guangdong Bai;Dan Dongseong KimNhung H. Nguyen;Mengmeng Ge;Jin-Hee Cho;Terrence J. Moore;Seunghyun Yoon;Hyuk Lim;Frederica Nelson;Guangdong Bai;Dan Dongseong Kim
- 通讯作者:Dan Dongseong KimDan Dongseong Kim
DNA Vaccine in Allergic Disease
- DOI:
- 发表时间:20022002
- 期刊:
- 影响因子:0
- 作者:Jin-Hee ChoJin-Hee Cho
- 通讯作者:Jin-Hee ChoJin-Hee Cho
Infratemporal fossa mucocele with trigeminal nerve compression
- DOI:10.1016/j.anl.2007.09.00710.1016/j.anl.2007.09.007
- 发表时间:2008-09-012008-09-01
- 期刊:
- 影响因子:
- 作者:Chan-Soon Park;Yong-Jin Park;Jin-Hee Cho;Sang-Hee JungChan-Soon Park;Yong-Jin Park;Jin-Hee Cho;Sang-Hee Jung
- 通讯作者:Sang-Hee JungSang-Hee Jung
Design and Analysis of QoS-Aware Key Management and Intrusion Detection Protocols for Secure Mobile Group Communications in Wireless Networks
- DOI:
- 发表时间:2008-112008-11
- 期刊:
- 影响因子:0
- 作者:Jin-Hee ChoJin-Hee Cho
- 通讯作者:Jin-Hee ChoJin-Hee Cho
Design, Implementation and Analysis of Wireless Ad Hoc Messenger
- DOI:
- 发表时间:2004-072004-07
- 期刊:
- 影响因子:0
- 作者:Jin-Hee ChoJin-Hee Cho
- 通讯作者:Jin-Hee ChoJin-Hee Cho
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Jin-Hee Cho的其他基金
III: Medium: Collaborative Research: MUDL: Multidimensional Uncertainty-Aware Deep Learning Framework
III:媒介:协作研究:MUDL:多维不确定性感知深度学习框架
- 批准号:21074502107450
- 财政年份:2021
- 资助金额:$ 85.51万$ 85.51万
- 项目类别:Continuing GrantContinuing Grant
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相似海外基金
Collaborative Research: SaTC: CORE: Medium: Differentially Private SQL with flexible privacy modeling, machine-checked system design, and accuracy optimization
协作研究:SaTC:核心:中:具有灵活隐私建模、机器检查系统设计和准确性优化的差异化私有 SQL
- 批准号:23172322317232
- 财政年份:2024
- 资助金额:$ 85.51万$ 85.51万
- 项目类别:Continuing GrantContinuing Grant
Collaborative Research: NSF-BSF: SaTC: CORE: Small: Detecting malware with machine learning models efficiently and reliably
协作研究:NSF-BSF:SaTC:核心:小型:利用机器学习模型高效可靠地检测恶意软件
- 批准号:23383012338301
- 财政年份:2024
- 资助金额:$ 85.51万$ 85.51万
- 项目类别:Continuing GrantContinuing Grant
Collaborative Research: SaTC: CORE: Medium: Differentially Private SQL with flexible privacy modeling, machine-checked system design, and accuracy optimization
协作研究:SaTC:核心:中:具有灵活隐私建模、机器检查系统设计和准确性优化的差异化私有 SQL
- 批准号:23172332317233
- 财政年份:2024
- 资助金额:$ 85.51万$ 85.51万
- 项目类别:Continuing GrantContinuing Grant
Collaborative Research: NSF-BSF: SaTC: CORE: Small: Detecting malware with machine learning models efficiently and reliably
协作研究:NSF-BSF:SaTC:核心:小型:利用机器学习模型高效可靠地检测恶意软件
- 批准号:23383022338302
- 财政年份:2024
- 资助金额:$ 85.51万$ 85.51万
- 项目类别:Continuing GrantContinuing Grant
Collaborative Research: SaTC: CORE: Medium: Using Intelligent Conversational Agents to Empower Adolescents to be Resilient Against Cybergrooming
合作研究:SaTC:核心:中:使用智能会话代理使青少年能够抵御网络诱骗
- 批准号:23309412330941
- 财政年份:2024
- 资助金额:$ 85.51万$ 85.51万
- 项目类别:Continuing GrantContinuing Grant