Ontology-Based Model for Supporting Dynamic and Adaptive User Interfaces

REFERENCES

• Almeida, A., & López-de-Ipiña, D. (2012). Assessing ambiguity of context data in intelligent environments: Towards a more reliable context managing system. Sensors, 12, 4934–4951.
   Web of Science ®Google Scholar
• Babisch, W. (2002). The noise/stress concept, risk assessment and research needs. Noise and Health, 4(16), 1.
   PubMedGoogle Scholar
• British Standards Institute. (2005). Design management systems. Part 6: Managing inclusive design (Guide. BS 7000-6:2005). UK: BSI.
   Google Scholar
• Casas, R., Blasco Marín R., Robinet, A., Delgado, A., Yarza, A., Mcginn, J., … Grout, V. (2008). User modelling in ambient intelligence for elderly and disabled people. Computers Helping People with Special Needs, pp. 114–122.
   Google Scholar
• Chen, H., Finin, T., & Joshi, A. (2005). Using OWL in a pervasive computing broker. Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore.
   Google Scholar
• Chen, H., Perich, F., Finin, T., & Joshi, A. (2004, August). Soupa: Standard ontology for ubiquitous and pervasive applications. The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 258–267.
   Google Scholar
• Cohen, P. R., & Perrault, C. R. (1979). Elements of a plan-based theory of speech acts. Cognitive Science, 3, 177–212.
   Google Scholar
• Cooper, A. (2004). The inmates are running the asylum: Why high-tech products drive us crazy and how to restore the sanity. Indianapolis, IN: Sams.
   Google Scholar
• Dey, A. K. (2001). Understanding and using context. Personal and Ubiquitous Computing, 5, 4–7.
   Web of Science ®Google Scholar
• European Commission. (2012). Ageing report: Europe needs to prepare for growing older.Available at: ec.europa.eu/economy_finance/articles/structural_reforms/2012-05-15_ageing_report_en.htm. (Accessed February 2012).
   Google Scholar
• Evers, C., Kniewel, R., Geihs, K., & Schmidt, L. (2012). Achieving user participation for adaptive applications. In Ubiquitous computing and ambient intelligence ( pp. 200–207). Berlin, Germany: Springer.
   Google Scholar
• Fischer, G. (2001). User modeling in human–computer interaction. User Modeling and User-Adapted Interaction, 11, 65–86.
   Web of Science ®Google Scholar
• Gauch, S., Chaffee, J., & Pretschner, A. (2003). Ontology-based personalized search and browsing. Web Intelligence and Agent Systems, 1, 219–234.
   Google Scholar
• Gibbs, W. W. (2005). Considerate computing. Scientific American, 292, 54–61.
   PubMedGoogle Scholar
• Golemati, M., Katifori, A., Vassilakis, C., Lepouras, G., & Halatsis, C. (2007, April). Creating an ontology for the user profile: Method and applications. Proceedings of the First RCIS Conference, 407–412.
   Google Scholar
• Gregor, P., Newell, A. F., & Zajicek, M. (2002, July). Designing for dynamic diversity: interfaces for older people. Proceedings of the Fifth International ACM Conference on Assistive Technologies, 151–156.
   Google Scholar
• Gu, T., Pung, H. K., & Zhang, D. Q. (2004). Toward an OSGi-based infrastructure for context-aware applications. Pervasive Computing, 3(4), 66–74.
   Web of Science ®Google Scholar
• Hatala, M., & Wakkary, R. (2005). Ontology-based user modeling in an augmented audio reality system for museums. User Modeling and User-Adapted Interaction, 15, 339–380.
   Web of Science ®Google Scholar
• Heckmann, D., Schwartz, T., Brandherm, B., Schmitz, M., & von Wilamowitz-Moellendorff, M. (2005). Gumo–the general user model ontology. In User modeling 2005 ( pp. 428–432). Berlin, Germany: Springer.
   Google Scholar
• Hervás, R., Bravo, J., & Fontecha, J. (2010). A context model based on ontological languages: A proposal for information visualization. Journal of Universal Computer Science, 16, 1539–1555.
   Web of Science ®Google Scholar
• Hong, J., Suh, E., & Kim, S.-J. (2009). Context-aware systems: A literature review and classification. Expert Systems with Applications, 36, 8509–8522.
   Web of Science ®Google Scholar
• Kobsa, A. (2001). Generic user modeling systems. User Modeling and User-Adapted Interaction, 11, 49–63.
   Web of Science ®Google Scholar
• Kobsa, A., & Pohl, W. (1994). The user modeling shell system BGP-MS. User Modeling and User-Adapted Interaction, 4, 59–106.
   Google Scholar
• Lemlouma, T., & Layaïda, N. (2004). Context-aware adaptation for mobile devices. Proceedings of the 2004 IEEE International Conference on Mobile Data Management, 106–111.
   Google Scholar
• McAvoy, L. M., Chen, L., & Donnelly, M. (2012, September). An ontology-based context management system for smart environments. UBICOMM 2012, the Sixth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, 18–23.
   Google Scholar
• Perrault, C. R., Allen, J. F., Cohen, P. R. (1978). Speech acts as a basis for understanding dialogue coherence. Proceedings of the 1978 Workshop on Theoretical Issues in Natural Language Processing, 125–132.
   Google Scholar
• Persad, U., Langdon, P., Brown, D., Clarkson, P. J. (2007). Cognitive scales and mental models for inclusive design. In Proceedings of the 4th International Conference on Universal Access in Human Computer Interaction: Coping With Diversity, 776–785.
   Google Scholar
• Persad, U., Langdon, P., & Clarkson, J. (2007). Characterising user capabilities to support inclusive design evaluation. Universal Access in the Information Society, 6, 119–135.
   Google Scholar
• Pohl, W. (1999). Logic-based representation and reasoning for user modeling shell systems. User Modeling and User-Adapted Interaction, 9, 217–282.
   Web of Science ®Google Scholar
• Razmerita, L., Angehrn, A., & Maedche, A. (2003). Ontology-based user modeling for knowledge management systems. In User modeling 2003 ( pp. 213–217). Berlin, Germany: Springer.
   Google Scholar
• Rich, E. (1979a, August). Building and exploiting user models. Proceedings of the 6th International Joint Conference on Artificial Intelligence–Volume 2, 720–722.
   Google Scholar
• Rich, E. (1979b). User modeling via stereotypes. Cognitive Science, 3, 329–354.
   Google Scholar
• Skillen, K. L., Chen, L., Nugent, C. D., Donnelly, M. P., Burns, W., & Solheim, I. (2012). Ontological user profile modeling for context-aware application personalization. In Ubiquitous Computing and Ambient Intelligence ( pp. 261–268). Berlin, Germany: Springer.
   Google Scholar
• Strang, T., & Linnhoff-Popien, C. (2004). A context modeling survey. In 1st International Workshop on Advanced Context Modelling, Reasoning and Management, UbiComp 2004 - The Sixth International Conference on Ubiquitous Computing. Nottingham, England.
   Google Scholar
• Wilson, G. M., & Sasse, M. A. (2000). Do users always know what’s good for them? Utilising physiological responses to assess media quality. In S. McDonald, Y. Waern, & G. Cockton ( Eds.), People and Computers XIV—Usability or else! ( pp. 327–339). London, UK: Springer-Verlag.
   Google Scholar