SGER: Operation Variables and Metrics for Evaluating/ Optimizing Group Creativity Techniques in Engineering Design

SGER：用于评估/优化工程设计中的群体创造力技术的操作变量和指标

• 批准号: 9812646
• 负责人: Jami Shah
• 金额: $ 10万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-05-01 至 2000-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9812646&HistoricalAwards=false
• 关键词: SGER; Operation; Variables; Metrics; Evaluating

This project will formulate a set of guidelines for conducting empirical studies to evaluate formal methods for idea generation in collaborative environments. In order to conduct good experiments on idea generation methods, a clear understanding of experiment variables, method variables, and data collection variables is needed. Also, a framework to analyze the data collected from such experiments is required. The research is divided into four major tasks: survey and evaluation of creative cognition models; identification of operation variables, metrics, and experiment design; development of a framework for analysis of design sketches; analysis and critique of previous experiments on progressive idea generation (C-Sketch, Method 635, and Gallery Method). This project will investigate the issue of scaling up appropriate cognitive models to study typical design problems which are far more complex than those used in psychological experiments. This study will attempt to understand the correlation between four sets of factors relevant to collaborative design: the individuals, the situation/environment, the outcome, and the process. This research will also develop a methodology for analyzing design sketches for studying the cognitive processes, mental structures, and ideas generated by tracking the evolution of design concept at successive stages of development. Studies have shown that the early stages of conceptual design have a substantial impact on the efficacy of a product; development of effective design methods to support the generation of alternative design ideas is critical. Along with that, designers must be convinced that the use of these methods has potential benefits. Therefore, it is essential to collect and analyze data on the effectiveness of idea generation techniques. The availability of experiment methodology and metrics for evaluating and/or optimizing creative design methods is an important step in this direction. If successful, future research will employ these guidelines to produce verifiable database of performance of formal creativity methods which may eventually lead to wider use of effective idea generation methods to explore alternative designs.

该项目将制定一套指导方针，用于进行实证研究，以评估协作环境中创意生成的正式方法。为了对想法生成方法进行良好的实验，需要清楚地了解实验变量、方法变量和数据收集变量。此外，还需要一个框架来分析从此类实验中收集的数据。研究分为四大任务：创造性认知模型的调查与评价；确定操作变量、指标和实验设计；开发设计草图分析框架；对先前关于渐进式想法生成的实验的分析和批评（C-Sketch、方法 635 和 Gallery 方法）。该项目将研究扩大适当认知模型的问题，以研究典型的设计问题，这些问题比心理学实验中使用的问题复杂得多。本研究将尝试了解与协作设计相关的四组因素之间的相关性：个体、情况/环境、结果和过程。 这项研究还将开发一种分析设计草图的方法，通过跟踪设计概念在连续发展阶段的演变来研究认知过程、心理结构和产生的想法。 研究表明，概念设计的早期阶段对产品的功效有重大影响；开发有效的设计方法来支持替代设计思想的产生至关重要。 除此之外，设计人员必须确信使用这些方法具有潜在的好处。 因此，收集和分析有关创意生成技术有效性的数据至关重要。 用于评估和/或优化创意设计方法的实验方法和指标的可用性是朝这个方向迈出的重要一步。如果成功，未来的研究将采用这些指南来生成可验证的正式创造力方法性能数据库，这最终可能导致更广泛地使用有效的想法生成方法来探索替代设计。