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Editor: Julie Linsey, Maria Yang, and Yukari Nagai
Author: Varun Kumar and Gregory Mocko
The objectives of this research are i) to identify and evaluate the pattern of design problem usage over the past 15 years, and ii) to assess whether the choice of design problem
influences the effectiveness of examples used as interventions in user studies. A design problem network is used to identify the pattern of design problem usage and suggests there is an opportunity to increase the sharing of design problems between design researchers. A meta-regression approach is used to evaluate if design problem size affects results of experiments where examples have been used as interventions. A regression model
is used to predict the standard mean difference with problem size as predictor variable and the quantity of ideas generated. A linear relationship between problem size and
effect size distribution indicating that problem size might have influenced the effectiveness of examples used as interventions in studies.
NEW DEADLINE- Full paper submission: 22nd April, 2016 Design creativity is an important and interesting topic of study in design. Since it involves the profound and essential nature of design, design creativity is expected to be a key in not only addressing the social problems that we are facing, but also producing an innate appreciation for beauty and happiness in our minds. In order to elucidate the nature of design creativity, the following issues are being studied: cognitive processes underlying...
The objective of SIG - Design Creativity is to study creativity in design. We have not sufficiently clarified creativity, especially in the context of design, although it is a very interesting characteristic in the thinking process of humans. This research discusses creativity in design instead of trying to identify its standard characteristics. That is, it tries to answer the question “What is design?” from the viewpoint of creativity, for two perspectives. First, this SIG discusses the characteristics...