Metrics to select design tasks in experimental creativity research
Metrics to select design tasks in experimental creativity research
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DOI：
10.1177/0954406218778305
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发表时间：
2018-06
期刊：
影响因子：
--
通讯作者：
R. Sosa
中科院分区：
文献类型：
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作者：
R. Sosa
本文证明了需要系统的方法来评估设计任务的实验研究的想法产生和概念设计。我们首先研究了160个设计任务的文献中使用的揭示了高方差的任务特征的集合。通过分析操作变量（包括任务阐述、任务定向、任务选择、参与者和分配用于构思的时间）来捕获研究之间的差异。四个指标，然后提出，以协助研究人员客观地评价设计任务。这些指标有助于识别问题陈述的语义和词汇维度，评估先例想法和评估任务措辞。这种方法的价值是通过将指标应用于设计任务的子集来证明的，显示它们的有用性，以客观地评估设计任务作为更广泛的实验设计过程的一部分。有了这些指标，研究人员可以调整任务和更广泛的实验，以最好地匹配他们研究的目的和操作变量。本文最后制定具体的建议，以协助选择使用这些指标的设计任务。
This paper demonstrates the need for systematic approaches to assess design tasks for experimental studies of idea generation and conceptual design. We first examine a collection of 160 design tasks used in the literature revealing a high variance of task characteristics. Variance across studies is captured by analysing operating variables including task elaboration, task orientation, task selection, participants and time allocated for ideation. Four metrics are then proposed to assist researchers to objectively characterise design tasks. These metrics help identify the semantic and lexical dimensions of problem statements, evaluate precedent ideas and assess task wording. The value of this approach is demonstrated by applying the metrics to a subset of design tasks showing their usefulness to assess the design task objectively as part of the wider experimental design process. Armed with these metrics, researchers can tune both the task and the wider experiment to best match the purposes and the operating variables of their studies. The paper concludes by formulating concrete recommendations to assist in the selection of design tasks using these metrics.