CAREER: Broadening Participation in Computing through Virtual Identities

今天的技术，包括视频会议软件、视频游戏和虚拟现实，已经成为教育不可或缺的一部分。这些技术允许个人通过虚拟身份来表现自己。然而，这些虚拟身份可能会在不经意间引发刻板印象威胁——一种心理状态，在这种状态下，个人感到有确认与他们的社会群体有关的负面刻板印象的风险，并因此在教育上表现不佳。因此，解决虚拟环境中的刻板印象威胁是至关重要的。该项目旨在创建计算干预和虚拟表示，以减少在线教育环境中的刻板印象威胁，从而为发展多样化和具有全球竞争力的劳动力做出贡献。在教育背景下，本研究的具体目标是：1)调查不同视觉和听觉虚拟身份对刻板印象威胁的影响；2)利用第一个目标的见解，开发虚拟形象定制系统，以减轻刻板印象威胁。通过对照研究，本项目在以下几个方面产生了新的见解：1)不同视觉和听觉虚拟身份对不同在线学习者的刻板印象威胁的影响；2)如何开发旨在减少在线教育环境中刻板印象威胁的虚拟身份定制系统；3)这些系统在提高不同学习者的表现方面的有效性；4)研究结果在两种不同教育环境中的普遍性。游戏平台和虚拟会议平台。这项工作将被整合到一些课程和学习平台中，接触到不同学习者的大量受众。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Today's technologies, including videoconferencing software, video games, and virtual reality, have become integral to education. These technologies allow individuals to represent themselves through virtual identities. However, these virtual identities can inadvertently trigger stereotype threat--a psychological state where individuals feel at risk of confirming negative stereotypes related to their social group and can underperform educationally as a result. Thus, addressing stereotype threat in virtual environments is crucial. This project aims to create computational interventions and virtual representations that reduce stereotype threat in online educational settings, thereby contributing to the development of a diverse and globally competitive workforce.The specific objectives of this research within the context of educational settings are: 1) Investigate the impact of different visual and auditory virtual identities on stereotype threat, and 2) Develop avatar customization systems that mitigate stereotype threat by leveraging insights from the first objective. Through controlled studies, this project generates new insights into several areas: 1) The effects of different visual and auditory virtual identities on stereotype threat among diverse online learners, 2) How to develop avatar customization systems aimed at reducing stereotype threat in online educational settings, 3) The effectiveness of these systems in improving performance for diverse learners, and 4) Generalizability of the findings across two distinct educational settings: gaming platforms and virtual meeting platforms. The work will be integrated into a number of courses and learning platforms, reaching a large audience of diverse learners.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.