Abstract
This paper outlines an approach for gathering workflow data via an interactive interview system. By means of this approach, data acquisition for a subsequent task and/or process analysis is conducted by a process expert instead of a process analyst as customary in application of conventional data acquisition methods. Beside other problems concerning existing techniques, this may solve the dilemma of a lacking common basis between expert and analyst in terms of process knowledge and process thinking.
A classification method is described which allows a definition of processes acquirable by the system. Furthermore, a procedure for decomposing processes is used to gather workflow data in a systematic way. During system application, feedback by sub-process models directs experts to process thinking while system records impart process knowledge for the analyst. The applicability of this approach is shown by results of a first system evaluation. Advantages and disadvantages in relation to common data acquisition methods are stated.
Chapter PDF
Similar content being viewed by others
Keywords
References
Havey, M.: Essential Business Process Modeling. O’Reilly Media, Inc., Sebastopol (2005)
White, S.A., Miers, D.: BPMN Modeling and Reference Guide: Understanding and Using BPMN. Future Strategies Inc. (2008)
Burge, J.E.: Knowledge Elicitation for Design Task Sequencing Knowledge, Thesis (1998)
Kirwan, B., Ainsworth, L.K.: A Guide to Task Analysis. Taylor & Francis, London (1992)
Lindgaard, G.: Usability Testing and System Evaluation. A guide for designing useful computer systems. Chapman & Hall, London (1994)
Stanton, N.A., Salmon, P.M., Walker, G.H., Baber, C., Jenkins, D.P.: Human Factors Methods. A Practical Guide for Engineering and Design. Ashgate (2005)
Annett, J.: Hierarchical Task Analysis. In: Diaper, D., Stanton, N. (eds.) The Handbook of Task Analysis for Human-Computer Interaction, pp. 67–82. Lawrence Erlbaum Associates, Mahwah (2004)
Polyvyanyy, A., Smirnov, S., Weske, M.: Process Model Abstraction: A Slider Approach. In: Proc. International IEEE EDOC 2008. IEEE Computer Society, Los Alamitos (2008)
Polyvyanyy, A., Smirnov, S., Weske, M.: On Application of Structural Decomposition for Process Model Abstraction. In: Proc. 2nd International Conference on Business Process and Services Computing (2009)
Smirnov, S.: Structural Aspects of Business Process Diagram Abstraction. In: Proc. IEEE Conference on Commerce and Enterprise Computing (2009)
OMG Business Process Modeling Notation (BPMN): Specification, Version 1.2, 2009-01-03. OMG (2009)
Harel, D.: Statecharts: A visual formalism for complex systems. Science of Computer Programming 3(8), 231–274 (1987)
Rasmussen, J.: Skills, Rules, Knowledge, Signals, Signs and Symbols and other Distinctions. Human Performance Models. IEEE Transactions on Man, Systems and Cybernetics SMC-13(3), 257–266 (1983)
Rasmussen, J., Pejtersen, A.M., Goodstein, L.P.: Cognitive Systems Engineering. John Wiley & Sons, Inc., U.S (1994)
Hart, S.G., Staveland, L.E.: Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In: Hancock, P.A., Meshkati, N. (eds.) Human Mental Workload, pp. 139–183. Elsevier, Amsterdam (1988)
Prümper, J., Anft, M.: ISONORM 9241/10, Beurteilungsbogen auf Grundlage der Internationalen Ergonomie-Norm ISO 9241/10. Büro für Arbeits- und Organisationspsychologie, Berlin (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ley, D. (2011). Expert-Sided Workflow Data Acquisition by Means of an Interactive Interview System. In: Kurosu, M. (eds) Human Centered Design. HCD 2011. Lecture Notes in Computer Science, vol 6776. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21753-1_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-21753-1_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21752-4
Online ISBN: 978-3-642-21753-1
eBook Packages: Computer ScienceComputer Science (R0)