Advertisement

An Architecture to Provide Context-Aware Services by Means of Conversational Agents

Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 79)

Abstract

In human-human interaction, a great deal of information is conveyed without explicit communication. This context information characterizes the situation of the different entities involved in the communication process (users, place, environment and computational objects). In this paper, we present an agent-based architecture that incorporates this valuable information to provide the most adapted service to the user. One of the main characteristics of our proposal is the incorporation of conversational agents handling different domains and adapted taking into account the different users requirements and preferences by means of a context manager. This way, we ensure a natural communication between the user and the system to provide a personalized service. The implementation of our proposed architecture to develop and evaluate a context-aware railway information system is also described.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bajo, J., Julian, V., Corchado, J.M., Carrascosa, C., De Paz, Y., Botti, V., De Paz, J.F.: An execution time planner for the artis agent architecture. Journal of Engineering Applications of Artificial Intelligence 21(8), 769–784 (2008)CrossRefGoogle Scholar
  2. 2.
    Griol, D., Hurtado, L., Sanchis, E., Segarra, E.: Acquiring and Evaluating a Dialog Corpus through a Dialog Simulation Technique. In: Proc. of the 8th SIGdial, pp. 39–42 (2007)Google Scholar
  3. 3.
    Griol, D., Hurtado, L.F., Segarra, E., Sanchis, E.: A Statistical Approach to Spoken Dialog Systems Design and Evaluation. Speech Communication 50(8-9), 666–682 (2008)CrossRefGoogle Scholar
  4. 4.
    Jong-yi, H., Eui-ho, S., Sung-Jin, K.: Context-Aware Systems: A Literature Review and Classification. Expert Systems with Applications 36(4), 8509–8522 (2009)CrossRefGoogle Scholar
  5. 5.
    McTear, M.F.: Spoken dialogue technology. Springer, Heidelberg (2004)Google Scholar
  6. 6.
    Nieto-Carvajal, I., Botía, J., Ruiz, P., G’omez-Skarmeta, A.: Implementation and evaluation of a location-aware wireless multi-agent system. In: Proc. of EUC 2004, pp. 528–537 (2004)Google Scholar
  7. 7.
    Sánchez-Pi, N., Fuentes, V., Carbó, J., Molina, J.: Knowledge-based system to define context in commercial applications. In: Proc. of SNPD 2007, pp. 694–699 (2007)Google Scholar
  8. 8.
    Seneff, S., Adler, M., Glass, J., Sherry, B., Hazen, T., Wang, C., Wu, T.: Exploiting Context Information in Spoken Dialogue Interaction with Mobile Devices. In: Proc. of Int. Workshop on Improved Mobile User Experience, pp. 1–11 (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Group of Applied Artificial Intelligence (GIAA), Computer Science DepartmentCarlos III University of MadridSpain

Personalised recommendations