SoD-TEAM: Problem-Solving Methodology in Collaborative Design

SoD-TEAM：协作设计中的问题解决方法

• 批准号: 0613550
• 负责人: Steven Tanimoto
• 金额: --
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-15 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0613550&HistoricalAwards=false
• 关键词: SoD; TEAM; Problem; Solving; Methodology

Directorate for Computer and Information Science and Engineering (CISE)Division Computer and Network Systems (CNS)Science of Design (SoD) ProgramProposal Number: 0613550 P/I: Steven Tanimoto PI's Department: Computer Science and Engineering Institution: University of WashingtonAward: $ 449,642Title: "SoD-TEAM: Problem-Solving Methodology in Collaborative Design"This project focuses on software tools that facilitate collaboration among members of a design team. The project permits a design team to manage the explored portions of a space of alternative designs. In addition, it supports evaluation and communication among team members about design alternatives. One goal of the project is to develop a methodology and a framework for software-designers that is based on studies that will lead to understanding how to support end-user exploration of solution-spaces. In addition the project facilitates collaboration among designers with different interests, expertise and the need to have both private as well as share common group-based designs. The theory of problem solving that forms the basis of the project involves "state-space search." The state-space search methodology applies to both formal problem solving (where automation without human intervention is possible) and to complex design problems in which some aspects can be "fuzzy". However, the approach proposed with this project is to merge the two genres of software and create a new one: software that allows a collaboration among automatic design processes and human designers, and one that makes visible not only the details of particular designs but also a substantial piece of the space of possible designs. In support of this project, the proposers developed the core of an initial research prototype software system to support design with transparent display of design spaces. This system, T-Star, implements a human interface that supports problem-solving using an approach from artificial intelligence that includes a view of the portion of the solution space that has been explored so far. Having a visual rendition of the spatial context of exploration helps ground design team collaboration.Program Manager: Anita J. La SalleDate: June 26, 2006

计算机与信息科学与工程(CEISE)司计算机与网络系统(CSIS)设计科学(SoD)计划建议编号：0613550 P/I：Steven TAnimoto Pi所在系：计算机科学与工程研究所：华盛顿大学奖项：$449,642标题：“SoD-Team：协作设计中的问题解决方法论”这个项目侧重于促进设计团队成员之间协作的软件工具。该项目允许设计团队管理替代设计空间中探索的部分。此外，它还支持团队成员之间关于设计备选方案的评估和沟通。该项目的一个目标是为软件设计者制定一种方法和框架，该方法和框架的基础是将导致理解如何支持终端用户探索解决方案空间的研究。此外，该项目还促进了具有不同兴趣和专业知识的设计师之间的合作，以及既要拥有私人设计又要共享共同的基于群体的设计的需要。构成该项目基础的问题解决理论涉及“状态空间搜索”。状态空间搜索方法既适用于正式问题的解决(在这种情况下，无需人工干预的自动化是可能的)，也适用于复杂的设计问题，在这些问题中，某些方面可能是“模糊的”。然而，这个项目提出的方法是将这两种类型的软件合并，并创建一种新的软件：允许自动设计过程和人工设计师之间进行协作的软件，以及不仅使特定设计的细节可见，而且使可能的设计空间的相当大一部分可见的软件。为了支持这一项目，提出者开发了一个初步研究原型软件系统的核心，以支持透明显示设计空间的设计。这个名为T-Star的系统实现了一个人机界面，支持使用人工智能的方法解决问题，该方法包括迄今已探索的解决方案空间部分的视图。对探索的空间背景进行视觉呈现有助于地面设计团队的合作。项目经理：Anita J.La SalleDate：2006年6月26日