Abstract
The focus of this thesis is on the field of Air Traffic Management and how to improve efficiency in Air Traffic Control towers using information visualization for self-assessment. Research in this field is important in order to find new and improved solutions that will help Air Traffic Controllers (ATCOs) handle the increasing amount of air traffic. This thesis aims at developing a visualization solution to meet these challenges. The tool enabled ATCOs to assess traffic patterns for delays and find solutions were those delays could have been avoided. Evaluation of the tool indicated that self-assessment through an interactive visualization could be a solution to assess traffic patterns. The research conducted here could be useful for future studies on improving processes in safety critical control rooms and in the field of information visualization.