Ambient intelligence (AmI) refers to normal working and living environments by surrounding by embedded devices that can merge unobtrusively and in natural ways using information and intelligence hidden in the network connecting these devices (eg the Internet of Things). Such devices observe daily life within This environments a long period periods time extending providing a system designed to aid in behavioral change in individuals or groups. In such systems, real-world data collected can be used for coaching and evaluation purposes. This introduces a number of challenges such as selecting the Timing, modality, content, and the feedback systems of persuasive (coaching) strategies. These challenges are related to both the research and the development of persuasive systems in different contexts, such as health, energy, smart mobility,Road safety and education or the never workplace.

In this workshop, we will look into how to design, develop and evaluate systems that enable behavior capture and support behavior modeling so as to drive behavioral change using Ambient Intelligence. Certain challenges need to be over such as selecting the timing, modality, content, And the feedback systems of persuasive intervention strategies as well as the timing and modality of the systems that monitor the behaviour.., the multi-disciplinary nature of designing and implementing behavioral change strategies and systems are within the core of this workshop.

The aim of this workshop is to collect from academic and industrial players papers reporting original, previously unpublished research, which addresses this important field. In addition, the novel approach combining advances in IoT, Fog and Cloud technologies, with techniques such as gamification to atmosphere engagement And behavior change are also within the scope of this workshop.