Abstract
Nowadays, systems are growing in power and in access to more resources and services. This situation makes it necessary to provide user-centered systems that act as intelligent assistants. These systems should be able to interact in a natural way with human users and the environment and also be able to take into account user goals and environment information and changes. In this paper, we present an architecture for the design and development of a goal-oriented, self-adaptive, smart-home environment. With this architecture, users are able to interact with the system by expressing their goals which are translated into a set of agent actions in a way that is transparent to the user. This is especially appropriate for environments where ambient intelligence and automatic control are integrated for the user’s welfare. In order to validate this proposal, we designed a prototype based on the proposed architecture for smart-home scenarios. We also performed a set of experiments that shows how the proposed architecture for human-agent interaction increases the number and quality of user goals achieved.
Similar content being viewed by others
References
Alam, M. R., Reaz, M. B. I., & Ali, M. A. M. (2012). A review of smart homes: Past, present, and future. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 42(6), 1190–1203.
Andrushevich, A., Staub, M., Kistler, R., & Klapproth, A. (2010). Towards semantic buildings: Goal-driven approach for building automation service allocation and control. In 2010 IEEE conference on emerging technologies and factory automation (ETFA) (pp. 1–6) IEEE.
Ayala, I., Amor, M., & Fuentes, L. (2013). Self-configuring agents for ambient assisted living applications. Personal and Ubiquitous Computing, 17(6), 1159–1169.
Cetina, C., Giner, P., Fons, J., & Pelechano, V. (2009). Autonomic computing through reuse of variability models at runtime: The case of smart homes. Computer, 42(10), 37–43.
Cook, D. J. (2009). Multi-agent smart environments. Journal of Ambient Intelligence and Smart Environments, 1(1), 51–55.
Dalpiaz, F., Giorgini, P., & Mylopoulos, J. (2009). An architecture for requirements-driven self-reconfiguration. In Advanced information systems engineering (pp. pp 246–260). Springer.
De Silva, L. C., Morikawa, C., & Petra, I. M. (2012). State of the art of smart homes. Engineering Applications of Artificial Intelligence, 25(7), 1313–1321.
Huhns, M., & et al. (2005). Research directions for service-oriented multiagent systems. IEEE Internet Computing, 9, 69–70.
Iftikhar, M. U., & Weyns, D. (2014). Activforms: active formal models for self-adaptation. In SEAMS, (pp 125–134).
Kucher, K., & Weyns, D. (2013). A self-adaptive software system to support elderly care. Modern Information Technology, MIT.
Lieberman, H., & Espinosa, J. (2006). A goal-oriented interface to consumer electronics using planning and commonsense reasoning. In Proceedings of the 11th international conference on Intelligent user interfaces (pp. 226–233).
Liu, H., & Singh, P. (2004). ConceptNet—a practical commonsense reasoning tool-kit. BT Technology Journal, 22(4), 211–226.
Loseto, G., Scioscia, F., Ruta, M., & Di Sciascio, E. (2012). Semantic-based smart homes: a multi-agent approach. In 13th Workshop on objects and Agents (WOA 2012) (Vol. 892, pp. 49–55).
Martin, D., Burstein, M., Hobbs, J., Lassila, O., McDermott, D., McIlraith, S., Narayanan, S., Paolucci, M., Parsia, B., Payne, T., & et al (2004). OWL-S: Semantic markup for web services. W3C Member Submission, 22, 2007–2004.
Matthews, R. B., Gilbert, N. G., Roach, A., Polhill, J. G, & Gotts, N. M. (2007). Agent-based land-use models: a review of applications. Landscape Ecology, 22(10), 1447–1459.
Molina, J. M., Corchado, J. M., & Bajo, J. (2008). Ubiquitous computing for mobile environments. In Issues in multi-agent systems (pp 33–57). Birkhäuser, Basel.
Palanca, J., Navarro, M., Julian, V., & García-Fornes, A. (2012). Distributed goal-oriented computing. Journal of Systems and Software, 85(7), 1540–1557. doi:10.1016/j.jss.2012.01.045.
Rao, A., & Georgeff, M. (1995). BDI agents: From theory to practice. In Proceedings of the first international conference on multi-agent systems (ICMAS95) (pp. 312–319).
Reddy, Y. (2006). Pervasive computing: implications, opportunities and challenges for the society. In 1st International symposium on pervasive computing and applications (p. 5).
de Silva, L., & Padgham, L. (2005). Planning as needed in BDI systems. International Conference on Automated Planning and Scheduling.
Singh, P. (2002). The public acquisition of commonsense knowledge. In Proceedings of AAAI Spring symposium acquiring (and using) linguistic (and world) knowledge for information access.
Acknowledgments
This work is partially supported by the Spanish Government through the MINECO/FEDER project TIN2015-65515-C4-1-R.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Palanca, J., Val, E.d., Garcia-Fornes, A. et al. Designing a goal-oriented smart-home environment. Inf Syst Front 20, 125–142 (2018). https://doi.org/10.1007/s10796-016-9670-x
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10796-016-9670-x