Elucidating the Process of Relating Vague Verbal Expressions in Design Conversation with their Referents
Elucidating the Process of Relating Vague Verbal Expressions in Design Conversation with their Referents
批准号:
22K18138
负责人:
Kahlon Yuval
金额:
$2.08万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Early-Career Scientists
财政年份:
2022
资助国家:
日本
项目状态:
未结题
起止时间:
2022-04-01 至 2025-03-31
中文摘要
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英文摘要
The main achievements in FY 2022-2023 are: (1) a detailed literature review was conducted to better situate the work within the context of ongoing research involving eye tracking in design. In this, we have conducted a broad survey involving over 30 works between the years 1996-2023, and identified several clusters such as memory studies, navigation studies, form evaluation studies, etc. This enables to better position this study with respect to ongoing efforts to understand the behavior of designers, and emphasize its potential for expanding the scope of design evaluation studies into the domain of design conversation between several stakeholders; (2) a formal approval from the ethics committee of the Tokyo Institute of Technology was obtained, to conduct research with human subjects; (3) technical preparations for executing the eye tracking experiment in a lab environment were completed, including a pilot for data collection and its analysis; (4) as a basis for the eye tracking experiment, two studies which explore the relations between design conversation and interpretation were executed and published - one which demonstrates how we can extract designers' subjective interpretations from speech (Cao, Kahlon and Fujii, 2022) and another in which we proposed a framework for analyzing narratives in design (Kahlon and Fujii, 2022). These will serve as the basis for analyzing the data from the eye tracking experiment; (5) recruitment of our first group of professional architects for our eye tracking experiment was completed.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Modeling Real-time Narrative Making in Design Activity: Learning from natural intelligence for enhancing future computational design systems
对设计活动中的实时叙事进行建模:从自然智能中学习以增强未来的计算设计系统
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
[Kahlon Yuval, Fujii Haruyuki]
通讯作者:
Fujii Haruyuki
Revisiting Darke: Tracing the Emergence of Design Generators in Architectural Design
重温达克:追踪建筑设计中设计生成器的出现
DOI:
--
发表时间:
2022
期刊:
Design Computing and Cognition ’22
影响因子:
--
作者:
[Yu Cao, Yuval Kahlon, Haruyuki Fujii]
通讯作者:
Haruyuki Fujii
海外基金