Collaborative Research: HCC: Small: Understanding Online-to-Offline Sexual Violence through Data Donation from Users
Collaborative Research: HCC: Small: Understanding Online-to-Offline Sexual Violence through Data Donation from Users
批准号:
2211897
负责人:
Dongxiao Zhu
金额:
$19.69万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-10-01 至 2026-09-30
中文摘要
该项目将通过探索计算机介导的通信如何塑造同意交换的做法,或个人给予和感知接受同意性活动的方式,提高我们对线上线下性暴力的理解。在美国,性暴力是一个严重的公共卫生问题:每68秒就有一名美国人遭到性侵犯。线上线下性暴力是指通过计算机媒介和面对面交流相结合而发生的非自愿性行为。美国人发现潜在性伴侣并与之互动的方式越来越多地以计算机为媒介,然而我们对计算机媒介沟通如何影响对适当性行为的看法知之甚少,这可能使个人在没有意识到的情况下成为性伤害的肇事者或受害者。通过这个项目产生的知识将有利于公共卫生,并构成多个交叉领域的关键进展,如人机交互,护理和心理学,通过提供全新的解决方案,以真正预防在线到离线的性暴力,不依赖于犯罪者有意识的意图造成伤害,或受害者认识到伤害正在发生。这项研究使用了一种混合的方法,纵向的方法来研究通过在线约会进行的在线到离线的性活动,这是一种众所周知的性暴力背景。通过创建、策划和分析在线约会期间用户行为示例的数据集,将开发一个通过计算机介导同意的透镜的线上到线下性暴力框架。这将包括在线约会者在在线和离线互动中的行为实例,因为它与性活动有关,例如同意行为,以及这种行为对关键心理结构的影响。数据收集将更具可扩展性和隐私保护性,数据捐赠应用程序体现了性体验报告的最佳实践。该研究计划涉及以用户为中心的设计,实施和评估数据捐赠应用程序,其次是通过使用数据捐赠应用程序和关于他们的在线约会和相关性经历的经常性访谈,对在线约会者进行多组纵向数据收集。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的评估,被认为值得支持。影响审查标准。
英文摘要
This project will improve our understanding of online-to-offline sexual violence by exploring how computer-mediated communication shapes consent exchange practices, or the ways in which individuals give and perceive to receive consent to sexual activity. Sexual violence is a serious public health problem in the United States: every 68 seconds an American is sexually assaulted. Online-to-offline sexual violence refers to nonconsensual sexual acts that occur via the combination of computer-mediated and face-to-face communication. The ways in which Americans discover and interact with potential sexual partners are increasingly computer-mediated, however we have little understanding of how computer-mediated communication influences perceptions of appropriate sexual behavior, which may predispose individuals to becoming perpetrators or victims of sexual harm without their realization. The knowledge produced through this project will benefit public health and constitute crucial advances in multiple intersecting fields such as human computer interaction, nursing, and psychology via informing entirely new solutions to online-to-offline sexual violence that are truly preventative and do not rely on conscious intent by the perpetrator to cause harm, or recognition by victims that harm is occurring. The research uses a mixed methods, longitudinal approach to studying online-to-offline sexual activity through online dating, a well known context for sexual violence. A framework of online-to-offline sexual violence through the lens of computer-mediated consent will be developed by creating, curating, and analyzing a dataset of user behavior examples during online dating. This will comprise instances of online daters' behavior across online and offline interaction as it relates to sexual activity such as consent practices, as well as the impacts of such behavior on key psychological constructs. Data collection will be made more scalable and privacy-preserving with a data donation app embodying best practices for sexual experience reporting. The research plan involves user-centered design, implementation, and evaluation of the data donation app, followed by multiple cohorts of longitudinal data collection with online daters through use of the data donation app and recurrent interviews about their online dating and associated sexual experiences.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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
[Yao Qiang;Deng Pan;Chengyin Li;X. Li;Rhongho Jang;D. Zhu]
通讯作者:
Yao Qiang;Deng Pan;Chengyin Li;X. Li;Rhongho Jang;D. Zhu
NSF Convergence Accelerator Track H: Leveraging Human-Centered AI Microtransit to Ameliorate Spatiotemporal Mismatch between Housing and Employment for Persons with Disabilities
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批准号:2235225
-
项目类别:Standard Grant
-
资助金额:$61.36万
-
财政年份:2022
-
负责人:Dongxiao Zhu
-
依托单位:
SCC-CIVIC-PG Track A: Leveraging AI-assist Microtransit to Ameliorate Spatiotemporal Mismatch between Housing and Employment
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批准号:2043611
-
项目类别:Standard Grant
-
资助金额:$4.99万
-
财政年份:2021
-
负责人:Dongxiao Zhu
-
依托单位:
EAGER: A Novel Algorithmic Framework for Discovering Subnetworks from Big Biological Data
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批准号:1451316
-
项目类别:Standard Grant
-
资助金额:$17.5万
-
财政年份:2014
-
负责人:Dongxiao Zhu
-
依托单位:
国内基金
海外基金
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