VR Systems for Body Image and Body Schema

用于身体图像和身体模式的 VR 系统

• 批准号: 371783-2013
• 负责人: Gromala, Diane
• 金额: $ 1.82万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=572837
• 关键词: VR; Systems; Body; Image; Schema

Recent research in the emerging field of embodied cognition demonstrates the mutual importance of understanding the extent to which technologies affect our physical/physiological factors, and how our assumptions about our bodies affect the ways we design technology. Thus, it is increasingly important to study the fundamental processes of body schemas and body images. A body schema comprises the collection of processes that are responsible for typically non-conscious processes such as posture and movement. A body image refers to attitudes and beliefs we have about our body, which change over time, or when we face disability or disease. Body schema and body image function as continuous, mutually influential processes that provide important information about a user's psychophysiological state. This proposal aims to contribute to increasingly important research on fundamental human processes of body schema and body image, particularly as they change over time. We propose to: (i) investigate computation of body schema and body image by abstracting and modeling relevant correlates of each, (ii) identify relationships of body schema and image that together indicate variable psychophysiological user states, (ii) develop visualizations that correlate to changing user states, initially in VR avatars for range of movement studies in seniors, (iii) develop an interface that enables user annotations of body image data, (iv) develop methods for accurate repeatability of capturing user state data, (v) visualize aggregation of variable timeframes for later analysis of longitudinal data of users' psychophysiological states and (vi) develop methods of empirical assessment. The long-term objective of this research is two-fold: 1. To identify the theoretical underpinnings and formalisms necessary to devise computational models of variable body schema and image data. 2. To develop methods of assessment to provide empirical evidence of effectiveness.

新兴的具身认知领域的最新研究表明，了解技术影响我们的身体/生理因素的程度，以及我们对身体的假设如何影响我们设计技术的方式是相互重要的。因此，研究身体图式和身体意象的基本过程变得越来越重要。身体图式包含负责典型无意识过程（例如姿势和运动）的过程的集合。身体形象是指我们对自己身体的态度和信念，这些态度和信念会随着时间的推移或当我们面临残疾或疾病时而改变。身体图式和身体形象作为连续的、相互影响的过程发挥作用，提供有关用户心理生理状态的重要信息。 该提案旨在促进对人体图式和身体意象的基本人体过程日益重要的研究，特别是随着时间的推移而变化。我们建议：（i）通过抽象和建模各自的相关关联来研究身体图式和身体图像的计算，（ii）识别共同指示可变心理生理用户状态的身体图式和图像的关系，（ii）开发与以下内容相关的可视化：改变用户状态，最初是在 VR 头像中进行老年人的一系列运动研究，(iii) 开发一个界面，使用户能够对身体图像数据进行注释，(iv) 开发精确可重复性捕获用户状态数据的方法，(v) 可视化聚合变量的为以后分析用户心理生理状态的纵向数据制定时间表，以及 (vi) 制定实证评估方法。这项研究的长期目标有两个： 1. 确定设计可变身体模式和图像数据的计算模型所需的理论基础和形式。 2. 制定评估方法以提供有效性的经验证据。