Visualizing Scheduling
André Sydow, Jan-Frederik Kassel, Michael Rohs · 2015
The amount of logistical data in the automotive industry drastically increases due to digitalization and data that is automatically generated due to Auto-ID-Technologies. However, new methods need to be devised to make sense of this data, in particular when users are mobile, and when users need to collaborate to solve complex logistical tasks, such as resource scheduling. We propose a visualization method for hierarchical event data that is designed for tablets. The main design goals have been to foster collaboration and enable mobility. Our think aloud user study shows that both the event recognition and understanding of the participants improved with the proposed solution.