Tangible bits: towards seamless interfaces between people, bits and atoms
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
Discovering Statistics Using SPSS
Discovering Statistics Using SPSS
Information modeling: the process and the required competencies of its participants
Data & Knowledge Engineering - Special issue: Application of natural language to information systems (NLDB04)
RE '06 Proceedings of the 14th IEEE International Requirements Engineering Conference
Proceedings of the 2nd international conference on Tangible and embedded interaction
Granularity as a Cognitive Factor in the Effectiveness of Business Process Model Reuse
BPM '09 Proceedings of the 7th International Conference on Business Process Management
The measurement of perceived ontological deficiencies of conceptual modeling grammars
Data & Knowledge Engineering
Participative enterprise modeling: experiences and recommendations
CAiSE'07 Proceedings of the 19th international conference on Advanced information systems engineering
Generating fast feedback in requirements elicitation
REFSQ'07 Proceedings of the 13th international working conference on Requirements engineering: foundation for software quality
Success factors of e-collaboration in business process modeling
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
Verification of EPCs: using reduction rules and petri nets
CAiSE'05 Proceedings of the 17th international conference on Advanced Information Systems Engineering
How novices design business processes
Information Systems
Embedding conformance checking in a process intelligence system in hospital environments
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
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In current practice, business processes modeling is done by trainedmethod experts. Domain experts are interviewed to elicit their process information but typically not involved in actualmodeling.We created a tangible toolkit for process modeling to be used with domain experts.We hypothesize that it results in more effective process elicitation. This paper assesses nine aspects related to "effective elicitation" in a controlled experiment using questionnaires and video analysis. We compare our approach to structured interviews in a repeated measurement design. Subjects were 17 student clerks from a trade school. We conclude that tangible modeling leads to more effective elicitation through activation of participants and validation of results. In particular, subjects take more time to think about their process and apply more corrections to it. They also report to get insights into process modeling.