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CreativeSearch: Proactive design exploration system with Bayesian information gain and information entropy
Automation in Construction ( IF 10.3 ) Pub Date : 2022-08-04 , DOI: 10.1016/j.autcon.2022.104502
Kihoon Son , Seung Won Lee , Wondeuk Yoon , Kyung Hoon Hyun

A spatial designer's search goal is sequentially updated during the spatial design exploration process. The design exploration process requires a proactive process that supports better-informed design decisions and refreshes the search direction to avoid being fixed; however, no study has been conducted to date. This paper describes a framework called CreativeSearch, which provides three types of guidance feedback by analyzing a spatial designer's design process. Particularly, by integrating the Bayesian Information Gain (BIG) framework and information entropy theory, CreativeSearch provides three types of guidance feedback. A user study conducted with 20 spatial designers confirmed that CreativeSearch supported them in exploring creative design ideas by lowering their mental load. Furthermore, CreativeSearch made designers proactive and supported their design decisions. The guidance feedback framework described in this paper is expected to extend the research on proactive and creative design exploration processes.



中文翻译:

CreativeSearch:具有贝叶斯信息增益和信息熵的主动设计探索系统

空间设计者的搜索目标在空间设计探索过程中顺序更新。设计探索过程需要一个主动的过程来支持更明智的设计决策并刷新搜索方向以避免被固定;然而,迄今为止尚未进行任何研究。本文描述了一个名为 CreativeSearch 的框架,它通过分析空间设计师的设计过程提供三种类型的指导反馈。特别是,通过整合贝叶斯信息增益(BIG)框架和信息熵理论,CreativeSearch 提供了三种类型的指导反馈。对 20 位空间设计师进行的一项用户研究证实,CreativeSearch 通过减轻他们的心理负担来支持他们探索创意设计理念。此外,CreativeSearch 让设计师积极主动并支持他们的设计决策。本文描述的指导反馈框架有望扩展对主动和创造性设计探索过程的研究。

更新日期:2022-08-05
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