ITR: Multi-Scale Interaction with 3D Data Environments

这是三年持续奖励的第一年资助。这项多学科研究将探索一种基于3D放大“透镜”的新方法，以构建改进的高度交互式3D界面，以科学和工程数据，允许用户轻松地在多个尺度和多个坐标系下进行交互。为了提高效率，与大型数据库的接口必须具有高度交互性，允许用户根据需要“深入”查看必要的细节，或者“缩小”以获取上下文信息。P1将扩展人类空间认知理论，以处理交互式3D可视化系统中的常见问题，特别是覆盖与多尺度环境中使用立体和头部跟踪VR技术的手眼协调相关的感知问题，以提高可视化和交互性。PI将开发链接视图的技术，以便用户在与不同规模的数据交互时不会迷失方向。一个概念验证原型，使科学家和工程师能够监视和控制远程操作的车辆或自主水下车辆，将用于进行实验用户评估，以提供反馈和衡量成功。

This is the first year funding of a three-year continuing award. This multi-disciplinary study will explore a novel approach based on 3D magnifying "lenses" to building improved highly interactive 3D interfaces to scientific and engineering data that allow users to easily interact at multiple scales and with multiple coordinate systems. To be effective it is necessary that interfaces to large data bases be highly interactive allowing users to "drill down" on demand to see detail as necessary, or to "zoom out" to get contextual information. The P1 will extend human spatial cognition theory to deal with common problems in interactive 3D visualization systems, and in particular to cover perceptual issues relating to eye-hand coordination in multi-scale environments using stereo and head tracking VR technologies to improve visualization and interaction. The PI will develop techniques to link views so that users do not become disoriented while interacting with data at different scales. A proof-of-concept prototype that enables scientists and engineers to monitor and control remotely operated vehicles or autonomous undersea vehicles will be used to conduct experimental user evaluations to provide feedback and measure success.