Abstract
Adaptive User Interfaces are able to facilitate the handling of computer systems through the automatic adaptation to users’ needs and preferences. For the realization of these systems, information about the individual user is needed. This user information can be extracted from user events by applying analytical methods without the active information input by the user. In this paper we introduce a reusable interaction analysis system based on probabilistic methods that predicts user interactions, recognizes user activities and detects user preferences on different levels of abstraction. The evaluation reveals that the prediction quality of the developed algorithm outperforms the quality of other established prediction methods.
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References
Albrecht, D., Zukerman, I., Nicholson, A.: Bayesian Models for Keyhole Plan Recognition in an Adventure Game. In: UMUAI 1998, vol. 8, pp. 5–47 (1998)
Álvarez-Corés, V., Zayaz-Pérez, B., Zárate-Silvia, V., Uresti, J.: Current Trends in Adaptive User Interfaces: Challenges and Applications. CERMA, 312–317 (2007)
Anderson, C.R., Domingos, P., Weld, D.S.: Relational Markov Models and their Application to Adaptive Web Navigation. In: ACM SIGKDD, KDD 2002, pp. 143–152 (2002)
Armentano, M.G., Amandi, A.A.: Recognition of User Intentions for Interface Agents with Variable Order Markov Models. In: Houben, G.-J., McCalla, G., Pianesi, F., Zancanaro, M. (eds.) UMAP 2009. LNCS, vol. 5535, pp. 173–184. Springer, Heidelberg (2009)
Danine, A., Lefebvre, B., Mayers, A.: TIDES - Using Bayesian Networks for Student Modeling. In: ICALT 2006, pp. 1002–1007. IEEE Computer Society, Los Alamitos (2006)
Davison, B., Hirsh, H.: Predicting Sequences of User Actions. In: Predicting the Future: AI Approaches to Time Series Problems, pp. 5–12. AAAI Press, Menlo Park (1998)
Friedman, N.: The Bayesian Structural EM Algorithm. In: UAI 1998, pp. 129–138 (1998)
Getoor, L., Sahami, M.: Using Probabilistic Relational Models for Collaborative Filtering. In: Working Notes of the KDD Workshop on Web Usage Analysis and User Profiling (1999)
Guzdial, M.: Deriving Software Usage Patterns from Log Files. Georgia Institute of Technology (1993)
Hancock, M.S.: A Bayesian Network Model of a Collaborative Interactive Tabletop Display. University of British Columbia (2003)
Hilbert, D., Redmiles, D.: Extracting Usability Information from User Interface Events. ACM Comput. Surv. 32, 384–421 (2000)
Horvitz, E., Breese, J., Heckerman, D., Hovel, D., Rommelse, K.: The Lumiere project: Bayesian User Modeling for inferring the Goals and Needs of Software Users. In: UAI 1998, pp. 256–265. Morgan Kaufmann, San Francisco (1998)
Jameson, A.: Adaptive Interfaces and Agents. In: Human-computer Interaction Handbook, pp. 305–330 (2003)
Künzer, A., Ohmann, F., Schmidt, L.: Antizipative Modellierung des Benutzerverhaltens mit Hilfe von Aktionsvorhersage-Algorithmen. MMI-Interaktiv (7), 61–83 (2004)
Noguez, J., Sucar, L.E.: A Probabilistic Relational Student Model for Virtual Laboratories. In: ENC 2005, pp. 2–9. IEEE Computer Society, Los Alamitos (2005)
Papatheodorou, C.: Machine Learning in User Modeling. In: Paliouras, G., Karkaletsis, V., Spyropoulos, C.D. (eds.) ACAI 1999. LNCS (LNAI), vol. 2049, p. 286. Springer, Heidelberg (2001)
Guo, Q., Murphy, A., Deemer, S., Agichtein, E.: Modeling User Interactions for Automatic Library Search Evaluation: Preliminary Results. In: Joint Conference on Digital Libraries (2008)
Ross, E.: Intelligent User Interfaces Survey and Research Directions. University of Bristol (2000)
Stab, C.: Interaktionsanalyse für Adaptive Benutzerschnittstellen, Diploma Thesis, Technical University Darmstadt (2009)
Webb, G.I., Pazzani, M.J., Billsus, D.: Machine Learning for User Modeling. In: UMUAI 2001, pp. 19–29. Kluwer Academic Publishers, Dordrecht (2001)
Zukerman, I., Albrecht, D.W.: Predictive Statistical Models for User Modeling. In: UMUAI 2001, pp. 5–18. Kluwer Academic Publisher, Dordrecht (2001)
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Nazemi, K., Stab, C., Fellner, D.W. (2010). Interaction Analysis for Adaptive User Interfaces. In: Huang, DS., Zhao, Z., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Lecture Notes in Computer Science, vol 6215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14922-1_45
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DOI: https://doi.org/10.1007/978-3-642-14922-1_45
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