Collaborative Research: HCC: Small: Understanding Online-to-Offline Sexual Violence through Data Donation from Users

合作研究:HCC:小型:通过用户捐赠的数据了解线上线下性暴力

基本信息

  • 批准号:
    2211897
  • 负责人:
  • 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
  • 起止时间:
    2022-10-01 至 2026-09-30
  • 项目状态:
    未结题

项目摘要

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.
该项目将通过探索计算机介导的沟通方式,或个人给予和感知获得性活动的同意的方式,从而提高我们对在线到在线性暴力的理解。性暴力在美国是一个严重的公共卫生问题:美国人每68秒都会遭受性侵犯。在线到途性暴力是指通过计算机介导的和面对面交流的结合而发生的非自愿性行为。美国人发现并与潜在的性伴侣互动的方式越来越多地被计算机介导,但是我们对计算机介导的沟通如何影响对适当的性行为的看法几乎没有理解,这可能使人在没有他们实现的情况下成为犯罪者或性伤害的受害者。通过该项目产生的知识将使公共卫生受益,并在多个相交领域(例如人类的计算机互动,护理和心理学)构成至关重要的进步,通过告知全新的解决方案,以实现在线到线上的性暴力,而这些解决方案确实是预防性的,并且不依赖肇事者有意识的意图造成受害者的伤害,或者受害者认识到受害者发生的伤害。该研究使用混合方法,纵向方法来通过在线约会研究在线性行为活动,这是众所周知的性暴力背景。通过在线约会期间创建,策划和分析用户行为示例的数据集,将开发通过计算机介导的同意书的在线性行为暴力框架。这将包括在线和离线互动中的在线互动的实例,因为它与性活动有关,例如同意惯例,以及这种行为对关键心理结构的影响。通过一个数据捐赠应用程序,可以使数据收集更加可扩展,并提供隐私性,以表现出最佳的性经验报告实践。该研究计划涉及数据捐赠应用程序以用户为中心的设计,实施和评估,然后通过使用数据捐赠应用程序以及有关其在线约会和相关性经验的经常性访谈。该奖项与NSF的法定任务进行了反映,反映了通过评估该基金会的智力效果,该奖项反映了NSF的法定任务,并反映了与基金会的智力相互审查。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
AttCAT: Explaining Transformers via Attentive Class Activation Tokens
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 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
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Dongxiao Zhu其他文献

"It's Not What We Were Trying to Get At, but I Think Maybe It Should Be": Learning How to Do Trauma-Informed Design with a Data Donation Platform for Online Dating Sexual Violence
“这不是我们想要达到的目标,但我认为也许应该如此”:学习如何利用在线约会性暴力的数据捐赠平台进行创伤知情设计
MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks
MFABA:一种更忠实、更加速的深度神经网络基于边界的归因方法
Towards Trauma-Informed Data Donation of Sexual Experience in Online Dating to Improve Sexual Risk Detection AI
致力于在线约会中性经历的创伤知情数据捐赠,以改进性风险检测人工智能
Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph
从知识图进行会话实体检索的基准和神经架构
Mechanical evolution of metastatic cancer cells in three-dimensional microenvironment
三维微环境中转移癌细胞的机械演化
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Karlin Hilai;Daniil Grubich;Marcus Akrawi;Hui Zhu;Razanne Zaghloul;Chenjun Shi;Man Do;Dongxiao Zhu;Jitao Zhang
  • 通讯作者:
    Jitao Zhang

Dongxiao Zhu的其他文献

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{{ truncateString('Dongxiao Zhu', 18)}}的其他基金

NSF Convergence Accelerator Track H: Leveraging Human-Centered AI Microtransit to Ameliorate Spatiotemporal Mismatch between Housing and Employment for Persons with Disabilities
NSF 融合加速器轨道 H:利用以人为本的人工智能微交通改善残疾人住房和就业之间的时空不匹配
  • 批准号:
    2235225
  • 财政年份:
    2022
  • 资助金额:
    $ 19.69万
  • 项目类别:
    Standard Grant
SCC-CIVIC-PG Track A: Leveraging AI-assist Microtransit to Ameliorate Spatiotemporal Mismatch between Housing and Employment
SCC-CIVIC-PG Track A:利用人工智能辅助微交通改善住房和就业之间的时空错配
  • 批准号:
    2043611
  • 财政年份:
    2021
  • 资助金额:
    $ 19.69万
  • 项目类别:
    Standard Grant
EAGER: A Novel Algorithmic Framework for Discovering Subnetworks from Big Biological Data
EAGER:一种从生物大数据中发现子网络的新颖算法框架
  • 批准号:
    1451316
  • 财政年份:
    2014
  • 资助金额:
    $ 19.69万
  • 项目类别:
    Standard Grant

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