Model-driven engineering and usability evaluation of self-adaptive user interfaces

Abstract

Enes Yigitbas is a Senior Researcher at Paderborn University. In 2019, he got his doctoral degree in Computer Science under the advisory of Prof. Dr. Gregor Engels. During his doctorate, his research work was linked to various industrial projects in the Software Innovation Campus Paderborn (SICP). In this context, he was significantly involved in the implementation and management of various projects related to model-driven and human-centered software engineering, self-adaptive software systems, and human-computer interaction. His work on engineering adaptive user interfaces received a late-breaking results award at the ACM SIGCHI Symposium on Engineering Interactive Computing Systems. In addition to project and teaching activities, he is actively involved in various committee activities as well as serves as a reviewer for various international conferences and journals in the areas of Software Engineering and HCI. In his thesis, supervised by Prof. Dr. Gregor Engels (Paderborn University), he focused on the engineering and usability evaluation of self-adaptive user interfaces. Self-adaptive user interfaces (SAUIs) have been promoted as a solution for context variability due to their ability to automatically detect context changes and adapt to the current context-of-use at runtime. In the course of his thesis work, he developed a model-driven engineering approach which supports modeling, transformation, and execution of self-adaptive user interfaces. Furthermore, a novel on-the-fly usability testing solution for SAUIs has been introduced which allows to evaluate the end-user satisfaction of SAUIs by combining context monitoring together with collection of instant user feedback.