ITR: Multi-Scale Interaction with 3D Data Environments

ITR：与 3D 数据环境的多尺度交互

• 批准号: 0081292
• 负责人: Colin Ware
• 金额: $ 44.68万
• 依托单位: University of New Hampshire
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2004-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0081292&HistoricalAwards=false
• 关键词: ITR; Multi; Scale; Interaction; 3D

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.

这是为期三年的持续奖励的第一年资助。这项多学科研究将探索一种新的方法，该方法基于3D放大镜，为科学和工程数据建立改进的高度交互的3D界面，使用户能够在多个尺度和多个坐标系下轻松交互。为了有效，大型数据库的接口必须具有高度的互动性，允许用户按需“深入”以查看必要的细节，或“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，特别是涵盖与使用立体和头部跟踪VR技术的多尺度环境中的眼手协调有关的感知问题，以改善可视化和交互。PI将开发链接视图的技术，以便用户在与不同比例的数据交互时不会迷失方向。一个概念验证原型将被用于进行实验性的用户评估，以提供反馈并衡量成功程度。该原型使科学家和工程师能够监测和控制遥控潜水器或自动潜航器。