Graphical User Interfaces are the most common way of interaction with the devices we use in our everyday life. Given the important and long-lasting impact that the visual design of GUIs has on User Experience, its experimental study is of high importance. However, this activity suffers from a lack of reproducibility of experimental results due to the significant amount of time and resources to conduct such experiments and create datasets. To address this problem, this thesis aims at developing an application which purpose is to facilitate the construction of datasets in the context of experimental studies of GUIs. The application parameterizes the design of experimental studies related to GUIs and automates various steps in order to facilitate their deployment and to foster their reproducibility. We explain the research approach, the workflows and features underlying the application. Finally, we discuss the current state of the thesis and the future work to be achieved.
Burny, N. (2020). Towards supporting reproducibility of experimental studies in GUI visual design. Proceedings of the 12th ACM SIGCHI Symposium on Engineering Interactive Computing Systems. Published. EICS ’20: ACM SIGCHI Symposium on Engineering Interactive Computing Systems, Sophia Antipolis France. https://doi.org/10.1145/3393672.3398644