AI4IE 2015 - 4th Workshop on AI Problems and Approaches for Intelligent Environments (AI4IE 2015)

Researchers in the area of intelligent environments try to embed intelligence into everyday working and living spaces. To reach this goal they investigate options to integrate smart technologies into ordinary objects within the environment or by controlling the available infrastructure in some clever way. The scale of tackled environments ranges from single rooms up to complete houses and whole cities. The ultimate goal is the creation of environments which support their users proactively and optimise themselves, for example with respect to energy usage. Advances in the area of artificial intelligence as well as in computer science in general should already enable researchers to build truly intelligent environments. In the last decade, numerous projects in industry and academia have targeted at providing intelligent environments and produced an impressive count of showcase-rooms or even buildings. Researchers from diverse disciplines, most notably Pervasive Computing, have been attracted by the chances and challenges in applying AI in IE. However, so far most intelligent environments are not yet intelligent from an AI perspective, but only instrumented environments providing some intelligent interaction modalities and some support for maintenance tasks. With this workshop we aim at bridging the gap between AI researchers and developers of intelligent environments in various disciplines. We want to provide a forum for discussion between the different communities. Among the goals of the workshop are:
Establishing new research collaborations between researchers from the areas of artificial intelligence, intelligent environments and pervasive computing.
The identification of open AI problems within the area of intelligent environments.
The identification of problems occurring while applying AI techniques in practice (e.g., the availability of scalable and robust implementations), which need to be solved when building intelligent environments.
Collecting a set of case studies of smart environments with a particular focus on the used AI techniques and open AI problems and the lessons learned while building them.
The collection of benchmark data sets for the evaluation of AI methods within the area of intelligent environments.
The development of a suitable notion of intelligence while considering intelligent environments.
We solicit AI-related papers on the following topics:
AI and the internet of things
AI problems while analysing uncertain sensor data in Intelligent Environments
AI problems while analysing massive amounts of information in Intelligent Environments (Novel clustering and classification methods)
Activity recognition (in particular AI approaches for infrastructure mediated and device-free passive sensing)
AI methods for intention analysis (e.g. prediction of activities and user goals)
Machine learning methods for effective energy monitoring and analysis
AI methods like constraint programming for energy optimisation
Improving indoor localisation techniques using AI and ML techniques
Cooperative and collaborative data processing in dense indoor environments (e.g., multi-agent systems, in-network processing approaches)
Smart room/home/buildings technologies
Ambient/urban intelligence
Assisted living technologies and algorithms
Evaluation methodologies
Benchmarks for IE-related algorithms and technologies
Theoretical foundations for AI in IE
Application of AI in IE (advances and lessons learned)
Organic and printed electronics for AI in intelligent environments
AI methods to manage/improve information security in intelligent environments
Ubiquitous/pervasive computing and context awareness
Human-computer interaction in intelligent environments
Robotics in IE