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In the field of information visualisation, Euler diagrams are an importanttool used in various application areas such as engineering, medicine and socialanalysis. To effectively use Euler diagrams, some of the wellformednessproperties needs to be avoided, as they are considered to reduce usercomprehension. From the previous empirical studies, we know some properties areswappable but there is no clear justification which property would be the bestto use. In this paper, we considered two main wellformedness properties(duplicated curve labels and disconnected zones) to test which among the twoaffect user comprehension the most, based on the task performance (accuracy andresponse time), preference and eye movements of the users. Twelve participantsperformed three different types of tasks with nine diagrams of each property(so, in total eighteen diagrams) and the results showed that duplicated curvelabels property slows down and trigger extra eye movements, causing delays forthe tasks. Though there is no significant difference in the accuracy but theinsights obtained from the response time, preference and eye movements will beuseful for software developers on the optimal way to visualise Euler diagramsin real world application areas.

Wellformedness Properties in Euler Diagrams: An Eye Tracking Study for Visualisation Evaluation