Abstract:This study proposes a co-designing, iterative methodology to design graphical user interface for creativity support tools for designers. Given the high level of expectation from designers, the interface quality was one of the most challenging aspects of the work, in conjunction with the utility of the functionalities. An iterative design and evaluation process was used to create the icon-based interface, during which the needs of the designers and the functionalities of the system were integrated until a complete operational prototype emerged. This process provided three sequential prototypes. In order to achieve this, we derived qualitative and quantitative results from various methods: creative sessions, semantic and emotional evaluations, questionnaires, semidirective interviews, subjective performance assessments, longitudinal tests, and focus group assessments. Finally, our iterative design and evaluation process can be considered to be a very efficient means of integrating end users' spontaneous feedback about icon redesigns in the early phases of development. The design outcome enabled the end users to ensure that key features of the creativity support tool were both usable and appealing.Keywords: case study; creativity support tool; applied creative method; icon design; Graphical User Interfaces (GUIs); co-designing Reference to this paper should be made as follows: Kim, J., Bouchard, C., Omhover, J.F., and Aoussat, A (20xx) 'Designing a graphical interface for creativity support tools for designers: a case study', Int. J.Web Engineering and Technology, Vol. x, No. x, pp.xx-xx.
AuthorCarole Bouchard is an assistant professor at Arts et Metiers ParisTech. Her research interests are design methodologies, creativity, kansei engineering and emotional design. Based on several studies with design practitioners, she developed design methodologies integrating designers' cognitive activity.Jean-François Omhover is an assistant professor at Arts et Métiers ParisTech. He works on the optimization of the design process by means of artificial intelligence techniques. More specifically, his research are focused on the elaboration of specific image processing techniques for supporting the early phases of the design process.Ameziane Aoussat is a full-time professor at Arts et Metiers ParisTech, and head of LCPI Design Lab. His area of research is the optimisation of the design process. In the last 18 years, he has advised more than 30 PhD theses and managed industrial collaborations.