ITR: Visualization of Multi-valued Scientific Data: Applying Ideas from Art and Perceptual Psychology

ITR:多值科学数据的可视化:应用艺术和感知心理学的思想

基本信息

  • 批准号:
    0086065
  • 负责人:
  • 金额:
    $ 229.66万
  • 依托单位:
  • 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 2005-08-31
  • 项目状态:
    已结题

项目摘要

Visualization of Multi-valued Scientific Data: Applying Ideas from Art and Perceptual PsychologyThis is a multi-disciplinary research project to discover new visualization tools for interacting with and understanding multi-valued volumes of scientific data and the physical phenomena they measure. The tools will be developed and evaluated in close collaboration with scientists in three disciplines: neurobiologists studying neural development and disease via biological imaging, computational flow researchers studying blood flow through arteries, and geographers using remote sensing for environmental monitoring and resource management. We will factor out common patterns from the problems in these multiple disciplines to develop interaction metaphors and visualization techniques that are generalizable and widely applicable.This project develops new visualization evaluation methodologies, an area that has only begun to be addressed. And it compares the effectiveness of visualization applications in several interactive and static computing and display environments including a 4-wall Cave, a 40'x40' virtual environment with a head mounted display, stereo head-tracked workbenches, desktop workstations, paper, and 3D rapid-prototyping output. Immersive environments will be studiedbecause the value of these non-traditional working environments has not been established and because they present an opportunity to explore fundamentally different interaction metaphors. Comparisons will be performed for both interactive and static cases with appropriate technology determined for each application.This project brings together experience from art and perceptual psychology for inspiration. Through several centuries, artists have evolved a tradition of techniques to create visual representations for particular communication goals. Art history provides a language for understanding that knowledge. We will draw inspiration from painting, sculpture, drawing, and graphic design and apply these techniques to the scientific problems.Beyond inspiration, perceptual psychology also brings a second set of knowledge to bear on scientific visualization problems. Evaluating the effectiveness of visualization methods is difficult because, not only are the goals difficult to define and codify, tests that evaluate them meaningfully are difficult to design and execute. These evaluations are akin to evaluating how the human perceptual system works. Perceptual psychologists have been developing experiments for understanding perception for decades, and they will help develop methodology and expertise for evaluating visualization methods in close collaboration with biologists, fluids researchers, geographers, artists, and computer scientists.While many of the individual components of this project are important alone, the collaborative aspects are the most notable. Mining ideas from art and perception will suggest unusually innovative visualization ideas. The application of new visualization techniques and collaboration with researchers in other fields will provide us with a unique opportunity to validate the techniques and ensure that they are responsive to the needs of the scientific problems. Because the techniques will be developed with application to multiple disciplines, they are likely to find further application within these and other disciplines. The assembled team brings strengths in all of the disciplines and has already demonstrated a track record of collaborative work.The broader impact of the proposed research lies not only in the information technology arena, where new methods will help scientists in many disciplines to more effectively interact with and understand their data and gain insight about the physical phenomena they represent, but also in the specific scientific domains we will study. The study of blood flow could lead to improved understanding of and treatment for cardiovascular pathologies. An understanding of early neural development could enable new therapies for birth defects, genetic disorders, and other diseases. Remote sensing advances could provide more effective resource monitoring and permit widespread improvements in global quality of life.
多值科学数据的可视化:应用艺术和感知心理学的思想这是一个多学科研究项目,旨在发现新的可视化工具,用于与多值科学数据及其测量的物理现象进行交互和理解。这些工具将与三个学科的科学家密切合作开发和评估:通过生物成像研究神经发育和疾病的神经生物学家,研究动脉血流的计算流研究人员,以及使用遥感进行环境监测和资源管理的地理学家。我们将从这些多学科的问题中找出共同的模式,以开发可推广和广泛适用的交互隐喻和可视化技术。本项目开发了新的可视化评估方法,这是一个刚刚开始解决的领域。它比较了几种交互式和静态计算和显示环境中的可视化应用程序的有效性,包括四面墙的洞穴,40'x40'的虚拟环境与头戴式显示器,立体头跟踪工作台,桌面工作站,纸张和3D快速原型输出。沉浸式环境将被研究,因为这些非传统的工作环境的价值尚未建立,因为它们提供了一个探索根本不同的互动隐喻的机会。将对交互式和静态案例进行比较,并为每个应用确定适当的技术。该项目汇集了艺术和感知心理学的经验,以获得灵感。几个世纪以来,艺术家们已经发展出一种传统的技术来为特定的沟通目标创造视觉表现。艺术史为理解这些知识提供了一种语言。我们将从绘画、雕塑、素描和平面设计中汲取灵感,并将这些技术应用于科学问题。除了灵感,知觉心理学还带来了第二套知识来解决科学可视化问题。评估可视化方法的有效性是困难的,因为不仅目标难以定义和编码,有意义地评估它们的测试也难以设计和执行。这些评估类似于评估人类感知系统如何工作。知觉心理学家几十年来一直在开发理解知觉的实验,他们将与生物学家、流体研究人员、地理学家、艺术家和计算机科学家密切合作,帮助开发评估可视化方法的方法和专业知识。从艺术和感知中挖掘想法将提出不同寻常的创新可视化想法。新的可视化技术的应用和与其他领域的研究人员的合作将为我们提供一个独特的机会,以验证技术,并确保它们能够满足科学问题的需要。由于这些技术将在多个学科中得到应用,因此它们很可能在这些学科和其他学科中得到进一步的应用。这个团队汇集了所有学科的优势,并已经展示了协作工作的良好记录。拟议研究的更广泛影响不仅在于信息技术竞技场,新方法将帮助许多学科的科学家更有效地与他们的数据进行互动和理解他们的数据,并深入了解他们所代表的物理现象,也包括我们将要研究的特定科学领域。对血流的研究可以提高对心血管疾病的理解和治疗。对早期神经发育的理解可以为出生缺陷,遗传疾病和其他疾病提供新的治疗方法。遥感技术的进步可以提供更有效的资源监测,并使全球生活质量得到广泛改善。

项目成果

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David Laidlaw其他文献

Computer graphics and the geometry of S3
  • DOI:
    10.1007/bf03023567
  • 发表时间:
    2009-01-07
  • 期刊:
  • 影响因子:
    0.400
  • 作者:
    HÜseyin Koçak;David Laidlaw
  • 通讯作者:
    David Laidlaw

David Laidlaw的其他文献

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{{ truncateString('David Laidlaw', 18)}}的其他基金

CGV: Small: Collaborative Research: Immersive Visualization and 3D Interaction for Volume Data Analysis
CGV:小型:协作研究:用于体数据分析的沉浸式可视化和 3D 交互
  • 批准号:
    1319606
  • 财政年份:
    2013
  • 资助金额:
    $ 229.66万
  • 项目类别:
    Continuing Grant
GV: Small: Collaborative Research: Supporting Knowledge Discovery through a Scientific Visualization Language
GV:小型:协作研究:通过科学可视化语言支持知识发现
  • 批准号:
    1016623
  • 财政年份:
    2010
  • 资助金额:
    $ 229.66万
  • 项目类别:
    Standard Grant
MRI: Development of a Next-Generation Interactive Virtual-Reality Display Environment for Science
MRI:开发下一代科学交互式虚拟现实显示环境
  • 批准号:
    0923393
  • 财政年份:
    2009
  • 资助金额:
    $ 229.66万
  • 项目类别:
    Standard Grant
DDDAS-TMRP: Interactive Data-driven Flow-Simulation Parameter Refinement for Understanding the Evolution of Bat Flight
DDDAS-TMRP:交互式数据驱动的流动模拟参数细化,用于了解蝙蝠飞行的演变
  • 批准号:
    0540266
  • 财政年份:
    2006
  • 资助金额:
    $ 229.66万
  • 项目类别:
    Standard Grant
ITR: (ASE)-(sim+dmc+int): Computational Simulation, Modeling, and Visualization for Understanding Unsteady Bioflows
ITR:(ASE)-(sim dmc int):用于理解不稳定生物流的计算模拟、建模和可视化
  • 批准号:
    0427374
  • 财政年份:
    2004
  • 资助金额:
    $ 229.66万
  • 项目类别:
    Continuing Grant
ITR Collaborative Research: Perceptual Optimization for Data Visualization
ITR 协作研究:数据可视化的感知优化
  • 批准号:
    0324306
  • 财政年份:
    2003
  • 资助金额:
    $ 229.66万
  • 项目类别:
    Standard Grant
CAREER: Shape Capture and Modeling for Wrist Dynamics and Ancient Pottery Analysis using Manifold Surfaces and Signed-Distance Volume Images
职业:使用流形表面和有符号距离体积图像进行手腕动力学和古代陶器分析的形状捕获和建模
  • 批准号:
    0093238
  • 财政年份:
    2001
  • 资助金额:
    $ 229.66万
  • 项目类别:
    Continuing Grant
Computer Graphics Tools for Understanding Tensor-Valued Volume Data: A Painting Metaphor
用于理解张量值体积数据的计算机图形工具:绘画隐喻
  • 批准号:
    9996209
  • 财政年份:
    2000
  • 资助金额:
    $ 229.66万
  • 项目类别:
    Standard Grant
Computer Graphics Tools for Understanding Tensor-Valued Volume Data: A Painting Metaphor
用于理解张量值体积数据的计算机图形工具:绘画隐喻
  • 批准号:
    9619649
  • 财政年份:
    1997
  • 资助金额:
    $ 229.66万
  • 项目类别:
    Standard Grant

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