Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: A software engineering perspective on smart applications for AmI
Article type: Research Article
Authors: Garcia-Valverde, Teresa | Campuzano, Francisco | Serrano, Emilio | Villa, Ana | Botia, Juan A.;
Affiliations: Universidad de Murcia, Campus Espinardo, Murcia, Spain. E-mail: {mtgarcia,fjcampuzano,emilioserra,juanbot}@um.es | AmI2, Ambiental Intelligence and Interaction, CEEIM, Campus Espinardo, Murcia, Spain. E-mail: ana.villa@ami2.net
Note: [] Corresponding author. E-mail: juanbot@um.es.
Abstract: An Ambient Intelligence (AmI) system is a pervasive system in which services have some intelligence in order to smoothly interact with users immersed in the environment. Users are the main entity in AmI systems. Thus, the services are user-centred with an adaptive interaction that provides users with more personalized facilities in a non-intrusive way. The deployment of AmI services is a hard task, especially when the system includes complex users' behaviours or complex deployments in terms of the devices and software participating at the system. Since one of the intrinsic requirements in these services is smooth interaction with users, the user, or at least a model of the user, should be incorporated in the development process. This makes the process of verification and validation of such services quite difficult. This paper proposes the use of Agent Based Social Simulation for a quick and feasible validation of AmI systems. Simulation in the first stages enables easy validation of the services before real environment deployment. The main challenge in this approach is how to simulate humans with realistic behaviours. In this paper, Social Simulation (SS) is used to tackle this problem. Specifically, this paper presents a methodology for the validation of AmI systems by SS. The realistic modelling of users and its validation are key elements of this process and involve challenges that the techniques proposed here are able to deal with. A real application example which shows the level of reality reached in the users' models and the benefits of the methodology is presented in this paper.
Keywords: Ambient Intelligent, ambient assisted living, behaviour simulation, user modelling
DOI: 10.3233/AIS-2012-0147
Journal: Journal of Ambient Intelligence and Smart Environments, vol. 4, no. 3, pp. 163-181, 2012
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl