Seite - 347 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

Introduction to the Proceedings of WoRIE’19 Miguel J. HORNOS a,1 and Juan C. AUGUSTO b a Software Engineering Department, University of Granada, Granada, Spain b Department of Computer Science, Middlesex University, London, United Kingdom This section compiles the contributions accepted to be presented at the 8th International Workshop on the Reliability of Intelligent Environments (WoRIE’19), to be held within the 15th International Conference on Intelligent Environments (IE’19) in Rabat (Morocco) on 24-27 June 2019. The first edition of this workshop was held in Salamanca (Spain), within the 2nd International Symposium on Ambient Intelligence (ISAmI’11), while the six following ones were held in Guanajuato (Mexico), Shanghai (China), Prague (Czech Republic), London (United Kingdom), Seoul (Korea), and Rome (Italy), within IE’12, IE’14, IE’15, IE’16, IE’17 and IE’18 respectively. Thus, step by step, this event is consolidating as a meeting point where researchers, academics and professionals working on any aspect related to the development of more reliable, safer and/or securer Intelligent Environments (IE) can share their ideas and present their latest investigations, developments and results. The definitions of IE [1] and related terms, such as Ambient Intelligence (AmI) systems, Cyber-Physical Systems, Smart Environments, Pervasive/Ubiquitous Computing systems, among others, put the focus on helping users in their daily life, in a smart, transparent and little intrusive way. To achieve it, these systems are made up of not only an operational layer but also an intelligent layer. The former deploys a network of sensors, processors and actuators in a certain environment (e.g., a home, a workplace, a transportation system, a hospital, a museum, etc.), while a middleware is responsible for adequately distributing the relevant data and events among the mentioned devices. The latter is in charge of applying some techniques and/or methods coming from Artificial Intelligence (such as speech recognition, computer vision, machine learning, case-based planning, multi-criteria decision making, and knowledge representation, to name but a few) to make smarter the system in question and offer appropriate solutions to important challenges (mainly associated with the population ageing) that developed societies are facing nowadays, such as healthcare, people assistance, social inclusion, independence, lifelong learning, intelligent and adapted transport, and quality of life, among others. Therefore, researchers and practitioners coming from different scientific fields and knowledge areas have to be involved and collaborate in the development of these complex systems, which are made up of a wide range of hardware devices and advanced software modules that have to be distributedly and coordinatedly executed. In order to adapt their behaviour and offer smarter services to their users, these systems have to sense the relevant events that happen in the environment that they have to control, as 1 Corresponding author, Software Engineering Department, University of Granada, E.T.S. de Ingenierías Informática y de Telecomunicación, 18071 Granada, Spain; E-mail: mhornos@ugr.es. Intelligent Environments 2019 A. Muñoz et al. (Eds.) © 2019 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). doi:10.3233/AISE190063 347