Abstract
Nowadays, complex electronic products, such as DVD players or mobile phones, offer a huge number of functions. As a consequence of the complexity of the devices, customers often have problems to use such products effectively. For example, it has been observed that an increasing number of technically sound products is returned due to, e.g., interaction problems. One possible root cause of this problem is that most product development processes are still too technology-driven, i.e., potential users are brought into contact with the product only at a very late stage. If early consumer tests are carried out, then these typically aim at abstract market evaluations rather than formulating concrete requirements towards the functionality of the product. As a result, products often have little meaning or relevance to the customers. Therefore, we need better ways to involve users in the development of such products. This can be achieved by observing product usage in the field and incorporating the gained knowledge in the product creation process. This paper proposes an approach to build automatic observation modules into products, collect usage data, and analyze these data by means of process mining techniques exploiting a novel semantic link between observation and analysis. This link yields two main benefits: (i) it adds focus to the potential mass of captured data items; and (ii) it reduces the need for extensive post-processing of the collected data. Together with the framework’s flexibility to change observation modules remotely on-the-fly, these benefits speed up the information feedback cycle towards development.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brombacher, A., Sander, P., Sonnemans, P., Rouvroye, J.: Managing product reliability in business processes ‘under pressure’. Reliability Engineering & System Safety 88, 137–146 (2005)
den Bouwmeester, K., Bosma, E.: Phases of use: a means to identify factors that influence product utilization. In: CHI 2006: CHI 2006 extended abstracts on Human factors in computing systems, pp. 117–122. ACM Press, New York (2006)
Gruber, T.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5(2), 199–220 (1993)
Hartson, H., Castillo, J.: Remote evaluation for post-deployment usability improvement. In: Proceedings of the working conference on Advanced visual interfaces, pp. 22–29 (1998)
Hilbert, D.M., Redmiles, D.F.: An approach to large-scale collection of application usage data over the internet. In: ICSE 1998, pp. 136–145 (1998)
Kabitzsch, K., Vasyutynskyy, V.: Architecture and data model for monitoring of distributed automation systems. In: 1st IFAC Symposium on Telematics Applications In Automation and Robotics, Helsinki (2004)
Shifroni, E., Shanon, B.: Interactive user modeling: An integrative explicit-implicit approach. User Modeling and User-Adapted Interaction 2(4), 331–365 (1992)
Funk, M., van der Putten, P.H.A., Corporaal, H.: Specification for user modeling with self-observing systems. In: Proceedings of the First International Conference on Advances in Computer-Human Interaction, Saint Luce, Martinique, IARIA, pp. 243–248. IEEE Computer Society, Los Alamitos (2008)
Funk, M., van der Putten, P.H.A., Corporaal, H.: UML profile for modeling product observation. In: Proceedings of the Forum on Specification and Design Languages (FDL 2008), Stuttgart, Germany, pp. 185–190. ECSI, IEEE Computer Society (2008) ISBN: 978-1-4244-2264-7
Casati, F., Shan, M.: Semantic Analysis of Business Process Executions. In: Jensen, C.S., Jeffery, K., Pokorný, J., Šaltenis, S., Bertino, E., Böhm, K., Jarke, M. (eds.) EDBT 2002. LNCS, vol. 2287, pp. 287–296. Springer, Heidelberg (2002)
Hepp, M., Leymann, F., Domingue, J., Wahler, A., Fensel, D.: Semantic Business Process Management: a Vision Towards Using Semantic Web services for Business Process Management. In: IEEE International Conference on e-Business Engineering (ICEBE 2005), pp. 535–540 (2005)
O’Riain, S., Spyns, P.: Enhancing the Business Analysis Function with Semantics. In: Meersman, R., Tari, Z. (eds.) OTM 2006. LNCS, vol. 4275, pp. 818–835. Springer, Heidelberg (2006)
Alves de Medeiros, A., Pedrinaci, C., van der Aalst, W., Domingue, J., Song, M., Rozinat, A., Norton, B., Cabral, L.: An Outlook on Semantic Business Process Mining and Monitoring. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM-WS 2007, Part II. LNCS, vol. 4806, pp. 1244–1255. Springer, Heidelberg (2007)
Alves de Medeiros, A.K., van der Aalst, W.M.P., Pedrinaci, C.: Semantic Process Mining Tools: Core Building Blocks. In: Proceedings of the 16th European Conference on Information Systems, ECIS (2008)
van der Aalst, W., Reijers, H., Weijters, A., van Dongen, B., Alves de Medeiros, A., Song, M., Verbeek, H.: Business Process Mining: An Industrial Application. Information Systems 32(5), 713–732 (2007)
Funk, M., Rozinat, A., Alves de Medeiros, A., van der Putten, P., Corporaal, H., van der Aalst, W.: Semantic concepts in product usage monitoring and analysis. Technical Report ESR-2008-10, Eindhoven University of Technology (2008)
W3C: Web Ontology Language (OWL), http://www.w3.org/2004/OWL/
de Bruijn, J., Lausen, H., Polleres, A., Fensel, D.: The web service modeling language wsml: An overview. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 590–604. Springer, Heidelberg (2006)
van der Aalst, W.M.P., van Dongen, B.F., Günther, C.W., Mans, R.S., Alves de Medeiros, A.K., Rozinat, A., Rubin, V., Song, M., Verbeek, H.M.W., Weijters, A.J.M.M.: ProM 4.0: Comprehensive Support for Real Process Analysis. In: Kleijn, J., Yakovlev, A. (eds.) ICATPN 2007. LNCS, vol. 4546, pp. 484–494. Springer, Heidelberg (2007)
Günther, C.W., van der Aalst, W.M.P.: A Generic Import Framework for Process Event Logs. In: Eder, J., Dustdar, S. (eds.) BPM Workshops 2006. LNCS, vol. 4103, pp. 81–92. Springer, Heidelberg (2006)
Günther, C., Aalst, W.: Fuzzy Mining: Adaptive Process Simplification Based on Multi-perspective Metrics. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 328–343. Springer, Heidelberg (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Funk, M., Rozinat, A., Alves de Medeiros, A.K., van der Putten, P., Corporaal, H., van der Aalst, W. (2009). Improving Product Usage Monitoring and Analysis with Semantic Concepts. In: Yang, J., Ginige, A., Mayr, H.C., Kutsche, RD. (eds) Information Systems: Modeling, Development, and Integration. UNISCON 2009. Lecture Notes in Business Information Processing, vol 20. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01112-2_20
Download citation
DOI: https://doi.org/10.1007/978-3-642-01112-2_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01111-5
Online ISBN: 978-3-642-01112-2
eBook Packages: Computer ScienceComputer Science (R0)