ABSTRACT
Complex IT environments are characterized by heterogeneous user groups that differ in expertise, objectives, and contextual constraints. Conventional system designs, which assume user homogeneity or rely on static personalization mechanisms, are insufficient to support effective interaction and sustained performance in such settings.
This thesis addresses these challenges in the context of Rolls-Royce’s Test Execution Data System (TEDS) and proposes an adaptive system design approach that dynamically adjusts system behavior and user interfaces to the needs of diverse user groups operating in complex IT environments. Challenges within TEDS are systematically identified using contemporary analytical methods. Based on these findings, actionable design interventions are derived and evaluated. The anticipated system-level implications of implementing these interventions are outlined.
Adaptation is conceptualized across multiple layers, including the interface, workflow orchestration, and information abstraction. The approach aims to further specify mechanisms for balancing individual-level personalization with group-level consistency. The intended adaptive system design is expected to significantly improve task efficiency, reduce error rates, and enhance perceived usability compared to non-adaptive baselines. At the same time, it aims to mitigate cognitive overload for novice users without constraining the performance or flexibility required by expert users.