Easing the Smart Home: Translating Human Hierarchies to Intelligent Environments
Ubiquitous computing research have extended traditional environments in the so–called Intelligent Environments. All of them use their capabilities for pursuing their inhabitants’s satisfaction, but the ways of getting it are most of the times unclear and frequently unshared among different users. This last problem becomes patent in shared environments in which users with different preferences live together. This article presents a solution translating human hierarchies to the Ubicomp domain, in a continuing effort for leveraging the control capabilities of the inhabitants in their on–growing capable environments. This mechanism, as a natural ubicomp extension of the coordination mechanism used daily by humans, has been implemented over a real environment: a living room equipped with ambient intelligence capabilities, and installed in two more: an intelligent classroom and an intelligent secure room.
KeywordsUbiquitous Computing Human-centered computing Rule-based processing Command and control
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- 1.Mozer, M.M.: The neural network house: An environment that adapts to its inhabitants. In: Procs of the AAAI Spring Symposium on Intelligent Environments. AAAI Press, Menlo Park (1998)Google Scholar
- 2.Cook, D.J., Youngblood, M., Heierman, E., Gopalratnam, K., Rao, S., Litvin, A., Khawaja, F.: Mavhome: An agent-based smart home. In: Procs. of the IEEE International Conference on Pervasive Computing and Communications, pp. 521–524 (2003)Google Scholar
- 3.Bischoff, U., Kortuem, G.: Rulecaster: A macroprogramming system for sensor networks. In: OOPSLA Workshop (2006)Google Scholar
- 4.Brdiczka, O., Reignier, P., Crowley, J.L.: Supervised learning of an abstract context model for an intelligent environment, smart objects and ambient intelligence. In: SOC-EUSAI 2005, Grenoble 2005 (2005)Google Scholar
- 6.García-Herranz, M., Haya, P., Esquivel, A., Montoro, G., Alamán, X.: Easing the smart home: Semi-automatic adaptation in perceptive environments. Journal of Universal Computer Science 14(9), 1529–1544 (2008)Google Scholar
- 8.Papert, S.: Mindstorms: Children, Computers, and Powerful Ideas. Basic Books, New York (1980)Google Scholar
- 9.Esquivel, A., Haya, P.A., García-Herranz, M., Alamán, X.: Managing pervasive environment privacy using the fair trade metaphor. In: International Workshop on Pervasive Systems, PerSys 2007 (2007)Google Scholar
- 10.Kakas, A.C., Moraitis, P.: Argumentation based decision making for autonomous agents. In: AAMAS, ACM, pp. 883–890 (2003)Google Scholar
- 11.Maslow, A.H.: Motivation and Personality. Harper, New York (1954)Google Scholar
- 13.Bar-Yam, Y.: Analyzing the effectiveness of social organizations using a quantitative scientific understanding of complexity and scale. NECSI (May 2007)Google Scholar
- 14.Haya, P.A., Montoro, G., Esquivel, A., García-Herranz, M., Alamán, X.: A mechanism for solving conflicts in ambient intelligent environments. Journal Of Universal Computer Science 12(3), 284–296 (2006)Google Scholar