Description

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The aim of this workshop is to collect from academic and industrial players papers reporting original, previously unpublished research, which addresses this important field.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.

Call for paper

Important Dates

Draft paper submission deadline:2018-07-30

Draft paper acceptance notification:2018-08-24

Call for paper description

  • Data management and knowledge extraction
  • Fog computing and network architectures
  • 5G communication architecture and pervasive sensing applications
  • Smart metering infrastructures
  • People-centric systems and solutions
  • Methodologies for studying and analyzing behavior and results of interventions
  • Big-Data
  • Pilot applications and experiences
  • IoT-enabled enhanced learning
  • IoT-based gamification for behavioral change
  • Users' behavioural changes for energy efficiency
  • Applications of gamification in IoT settings
  • Behaviour change in Educational environments
  • Testing and evaluation methodologies for large-scale IoT experimentation
  • IoT Security and Security and Privacy on deployment for behavioral change
  • Gamification in transportation

Author guidelines

The contributions of can be analytical, empirical, technological, methodological, or a combination of these. Papers reporting strong systems engineering contributions backed by solid and appropriate evaluations are strongly encouraged. The impact of the funds should be demonstrated in the context of pervasive computing and communications. Papers patrolling known text from other species must clear significant novelty or pervasive computing impact.

Submitted papers must be unpublished and not alone also for publication. Also,  they must show a significant relevance to ambient intelligence and behavioural change  with significant environmental and societal impact. Submitted papers will undergo a rigorous review process handled by the Technical Program Committee. Only electronic Submissions in PDF format will be considered.

We invite submissions as five-page position papers in ELSEVIER Journal format. Accepted and revised papers will be published in an ENTCS Journal (see  here  for further details). Submissions should follow the publication policies of ENTCS.

Maximum of 5 pages including references, formatted in accordance with the ENTCS author guidelines

Committee

Workshop Chairs:

Ioannis Chatzigiannakis, University of Rome La Sapienza, Italy

Aris S. Lalos, University of Patras, Greece

Helen C. Leligou, University of West Attica, Greece

Georgios Mylonas, Computer Technology Institute & Press, Greece

Antonio Skarmeta, University of Murcia, Spain

Technical Program Committee:

Athanasios Bamis, Amazon, USA

Jorge Bernal, Universidad de Murcia, Spain

Ugo Maria Colesanti, INTECS, Italy

Juan Manuel Corchado, University of Salamanca, Spain

Edward Curry, National University of Ireland Galway, Ireland

Cathal Gurrin, Dublin City University / Insight Centre for Data Analytics, Ireland

Alex Gluhak, Digital Catapult, UK

Enrique Hortal Quesada, University of Maastricht, The Netherlands

Dimitrios Lymberopoulos, Microsoft Research, USA

Irene Mavrommati, Hellenic Open University, Greece

Federica Paganeli, CNIT, Italy

Apostolis Papageorgiou, i2CAT Foundation, Spain

Nearchos Paspalis, University of Central Lancashire, Cyprus

Paolo Petta, Austrian Research Institute for Artificial Intelligence, Austria

Dennis Pfisterer, DHBW Baden-Wuerttemberg Cooperative State University, Mannheim, Germany

Alfonso Ramallo, University of Murcia, Spain

Stefan van der Spek, TU Delft, The Netherlands

Panagiotis Trakadas, ADAE, Greece

Nicholas Vrettos, CERTH, Greece

Andrea Vitaletti, University of Rome La Sapienza, Italy

Artemis Voulkidis, Power-Ops, Greece

Theodore Zahariadis, Technological Educational Institute of Sterea Ellada, Greece

Anastasios Zafeiropoulos , UBITECH, Greece

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Contact information

  • Ioannis Chatzigiannakis
  • ichatz@diag.uniroma1.it