CAREER: Computing for Advanced Identity Representation

高级身份表征（AIR）项目是一种新的跨学科方法，旨在解决设计身份技术的问题，以实现富有想象力的自我表征，并通过实施基于计算和认知科学的动态社会身份模型来对抗社会污名。AIR项目旨在：（1）开发社会计算身份模型（例如，虚拟角色、化身和社交网络配置文件），以支持响应上下文和使用而动态变化的用户表示，并可以最小化底层基础设施中内置的隐式耻辱，（2）实现身份建模工具包，用于构建授权的跨应用程序自我表示（关键是，后端语义数据结构和图形表示），（3）使用AIR工具包构建集成的社交网络和叙事/游戏应用程序，并根据经验评估与当前系统的质量和性质相比构建的用户表示的质量和性质。AIR工具包需要开发以下新组件：前端/图形（对于化身/角色）：（1）支持实现用语义身份元数据注释的模块化图形用户表示;（2）用于动态地变换模块化图形用户表示的功能;后端语义（用于社交网络配置文件和模拟身份现象）：（3）支持身份语义结构的实现（4）用于生成、转换和执行对身份语义结构的推断的功能;（5）多媒体信息轮廓的可定制数据字段。扩大参与的多样性是AIR项目的内在要求，既包括该项目的教育部分，也包括技术研究本身。人类有能力以动态的、流畅的、微妙的方式创造性地展示自己，无缝地改变肢体语言、话语、时尚等等，对上下文具有惊人的敏感性。他们也会根据预期的行为和外表，以及社会偏见、偏见和污名来调整自己的自我表现。日常用户已经在数字媒体中表现自己，但在计算结构中实现真实的世界身份动态是本研究将解决的一个具有挑战性的问题。AIR项目代表了以人为本的精神，延伸到课堂教育、课程、指导和推广。试点评价工作将包括来自不同人口和机构的参与者。理论将在实验室开发，然后部署在教学中。技术成果将提供一个平台，将有助于指导新的研究生。 最重要的是，AIR项目通过开发技术为整个社会服务，以实现现实世界的赋权和多样性。

The Advanced Identity Representation (AIR) Project is a new transdisciplinary approach to the problem of designing identity technologies to enable imaginative self-representations and to counter social stigmas by implementing dynamic social identity models grounded in computing and cognitive science. The AIR Project seeks to: (1) Develop models of social computational identity (e.g., virtual characters, avatars, and social networking profiles) to enable user representations that dynamically change in response to context and use, and can minimize implicit stigma built into underlying infrastructure, (2) Implement an identity modeling toolkit for constructing empowering, cross-application self-representations (crucially, both back-end semantic data structures and graphical representations), (3) Use the AIR toolkit to build integrated social networking and narrative/game applications, and empirically assess the quality and nature of user representations constructed in contrast with the quality and nature of current systems.The AIR Toolkit entails developing new components as follows: Front End/Graphics (for avatars/characters): (1) Support for implementing modular graphical user representations annotated with semantic identity metadata; (2) Functions for transforming modular graphical user-representations dynamically; Back End Semantics (for social networking profiles and simulating identity phenomena): (3) Support for implementation of Identity Semantic Structures (knowledge bases to represent aspects of identity meaning in the application); (4) Functions for generating, transforming, and performing inferences on Identity Semantic Structures; and (5) Customizable data fields for multimedia information profiles.Broadening diversity of participation is intrinsic to the AIR Project, both in the educational components of this project, and in the technical research itself. Humans have the ability to creatively present themselves in dynamic, fluidly nuanced ways, seamlessly varying body language, discourse, fashion, and more, with astounding sensitivity to context. They also adapt their self-presentations in response to expected behaviors and appearances, as well as to social prejudices, biases, and stigmas. Already, everyday users represent themselves in digital media, yet enabling real world identity dynamics within computational structure is a challenging problem that this research will address. The AIR Project represents a human-centered ethos that extends to education in the classroom, curriculum, mentoring, and outreach. Pilot evaluation work will include participants from diverse demographics and institutions. Theories will be developed in the lab and then deployed in teaching. Technical results will provide a platform that will aid in mentoring new graduate students. Most importantly, the AIR Project serves society-at-large by developing technology to enable real-world empowerment and diversity.