Personalized 3D avatar tool development for measurement of body perception across gender identities

摘要 公众对性别认同经历的多样性的认识急剧上升。具体问题 在那些与自我认同、身体形象和医疗干预有关的性别焦虑症(GD)患者中， 21世纪的挑战，特别是考虑到自杀的高风险。性别认同与 性征一个人的身体特征，尤指容易观察到的性特征对于变性人和非二进制 患有GD的人，他们的身体与出生分配的性别之间的不协调-他们 在任何治疗前看镜子--他们性别认同的身体的内在化表现是 关键定义了他们经历的一部分，并导致了他们的焦虑症。目前，还没有临床或研究工具 存在是为了捕捉和量化一个人目前的身体和一个人的性别识别身体的不同经历 (这可能与他们目前的身体不同)，跨越一系列性别认同。衡量内在化的 一个人的身体的表现可以通过技术来促进，以在三维 阿凡达。扫描和分析人体形象所需的技术现在已经可用，而且具有成本效益。它是 现在可以扫描个人来创建个性化的3D可视化效果，或使用他们可以 在移动和桌面设备上进行交互，以代表其身体的内部表现。这可以允许 个人可以高度灵活地查看和操作自己的3D头像。这个项目的目标是 创建一种新颖的、基于视觉的数字工具来衡量、理解和量化个人的 他们的身体。我们将开发、验证和测试变性人、非双性人和顺性人的个性化 阿凡达工具，以表示内在化的性别识别的身体，以量化之间的不一致 一个人目前的身体。这个工具--“GD Somtopap”--将是对现有自我报告的一种改进 问卷调查，以横向和动态的方式捕捉内在化身体形象的视觉表现 随着时间的推移。它将足够灵活地描述一系列性别的异质体验 身份包括二元变性人、流动的性别、非二元和顺性。可应用于临床和临床。 临床研究应用，以跟踪交叉激素和性别确认手术治疗的结果。它 可以通过确定特定的身体部位作为治疗的目标来潜在地改善临床结果 提高身体协调性。此外，它将提供一种独特的手段来测量自己身体感知的准确性； 了解知觉准确性的差异以及哪些潜在的可修改因素可能会导致这种差异 对解决身体不协调的治疗具有预后意义。它也可以在未来使用 研究身体知觉和身体内部的功能和结构神经生物学相关性 代表性，以及在神经发育的什么时候，那些具有不同性别认同的人会出现这些。

Abstract Public awareness of the diversity of experiences of gender identities has climbed sharply. The specific issues of those with gender dysphoria (GD) related to self-identity, body image, and medical interventions are challenges for the 21st century, particularly given the high risk of suicide. Gender identity is tightly linked to one’s bodily features, particularly readily observable sexual characteristics. For transgender and nonbinary individuals with GD, the incongruence between their body associated with their birth-assigned sex – what they see in the mirror before any treatment – and the internalized representation of their gender-identified body is a key defining part of their experience and contributes to their dysphoria. Currently, no clinical or research tool exists to capture and quantify the diverse experiences of one’s current body and one’s gender-identified body (which may be distinct from their current body), across a range of gender identities. Measuring the internalized representation of one’s body could be facilitated by technology to visually represent this on a three-dimensional avatar. The technology needed to scan and analyze the human figure is now available and cost efficient. It is now possible to scan individuals to create personalized 3D visualizations, or “avatars,” with which they can interact on mobile and desktop devices to represent internal representation of their bodies. This can allow individuals to see and manipulate their own 3D avatar with a high degree of flexibility. The goal of this project is to create a novel, visually based digital tool to measure, understand, and quantify individuals’ experiences of their bodies. We will develop, validate, and test in transgender, nonbinary, and cisgender adults a personalized avatar tool to represent internalized gender-identified bodies in order to quantify incongruence between this and one’s current body. This tool – “GD Somatomap” – will be an advancement over existing self-report questionnaires to capture visual representations of internalized body image, cross-sectionally and dynamically over time. It will be flexible enough to characterize the heterogenous experiences of a range of gender identities including binary transgender, gender fluid, nonbinary, and cisgender. It can be used in clinical and clinical research applications to track outcomes of cross-hormone and gender-affirming surgical treatments. It can potentially improve clinical outcomes by identifying specific sets of body parts as targets for treatments to improve body congruence. Further, it will provide a unique means to measure own-body perceptual accuracy; understanding differences in perceptual accuracy and what potentially modifiable factors contribute to this may have prognostic significance for treatments to address body incongruence. It could also be used in future studies to investigate functional and structural neurobiological correlates of body perception and internal body representation, and at what point in neurodevelopment these emerge for those with different gender identities.