Identifying fixations and saccades in eye-tracking protocols
ETRA '00 Proceedings of the 2000 symposium on Eye tracking research & applications
Modern Information Retrieval
On Structured Workflow Modelling
CAiSE '00 Proceedings of the 12th International Conference on Advanced Information Systems Engineering
Mental imagery in problem solving: an eye tracking study
Proceedings of the 2004 symposium on Eye tracking research & applications
Eye-tracking analysis of user behavior in WWW search
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Process models representing knowledge for action: a revised quality framework
European Journal of Information Systems - Special issue: Action in language, organisations and information systems
Eye Tracking Methodology: Theory and Practice
Eye Tracking Methodology: Theory and Practice
Automated eye-movement protocol analysis
Human-Computer Interaction
Data & Knowledge Engineering
IEEE Transactions on Software Engineering
Efficient Consistency Measurement Based on Behavioral Profiles of Process Models
IEEE Transactions on Software Engineering
Cognitive complexity in business process modeling
CAiSE'11 Proceedings of the 23rd international conference on Advanced information systems engineering
Factors of process model comprehension-Findings from a series of experiments
Decision Support Systems
A Study Into the Factors That Influence the Understandability of Business Process Models
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Causal Behavioural Profiles - Efficient Computation, Applications, and Evaluation
Fundamenta Informaticae - Applications and Theory of Petri Nets and Other Models of Concurrency, 2010
Understanding business process models: the costs and benefits of structuredness
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
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Understanding business process models has been previously related to various factors. Those factors were determined using statistical approaches either on model repositories or on experiments based on comprehension questions. We noticed that, when asking comprehension questions on a process model, usually the expert explores only a part of the entire model to provide the answer. This paper formalizes this observation under the notion of Relevant Region. We conduct an experiment using eye-tracking to prove that the Relevant Region is indeed correlated to the answer given to the comprehension question. We also give evidence that it is possible to predict whether the correct answer will be given to a comprehension question, knowing the number and the time spent fixating Relevant Region elements. This paper sets the foundations for future improvements on model comprehension research and practice.