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WellBeCoach

WellBeCoach: Smart Coaching solutions for Health & Wellbeing

Abstract

There is sufficient evidence proving the impact that negative lifestyle choices have on people’s health and wellbeing. Avoiding unhealthy habits is, nowadays, a priority, and to achieve this goal, radically new approaches are required. Research and Innovation solutions in this field can inform public health policies to promote citizens’ empowerment and disease prevention in the large scale. An ever increasing number of smart technologies are being developed all over the world to coach people on healthier, as well as more responsible behaviours, providing them timely and ubiquitously with personalised information and support. This workshop aims at bringing together the latest experiences, findings and developments on smart coaching systems and methods based on artificial intelligence for the provision of personalised health and wellbeing support services. The main objective of the workshop is to bring together novel, innovative and exciting contributions including smart coaching interventions for health promotion and disease management, sensors for health and behaviour monitoring, devices and techniques for coaching, validity and reliability of monitoring and coaching, modelling of behaviour change strategies, experiences and results of large scale deployment of these solutions both in the research and industrial fields.

Scope and Topics

This workshop aims to build on the results of the Health-i-Coach workshop of PervasiveHealth 2017 (http://reset.ugr.es/Health-i-Coach/) to further set the principles and foundations for the development of smart coaching systems for health and wellbeing applications, by also sharing experiences in the deployment of eCoaching solutions in the large scale.

Moreover, this workshop aims at bringing together specialists from diverse domains and countries, from academia and the industry, as an opportunity to join efforts and create potential collaboration networks on this topic. We welcome novel, innovative and exciting contributions in areas including, but not limited to:

● Applications for cognitive and physical health monitoring and modelling

● Large-scale studies of eCoaching systems and solutions for public health

● eCoaching solutions for Resilience-based interventions

● Affective computing (emotion recognition)

● Health behaviour analytics and eCoaching

● Embodied conversational agents as virtual health coaches

● Health conversational agents

● Deep learning based health dialogue systems

● Assistive robots

● Virtual coaching in chronic diseases prevention, diagnosis, management and control

● Assistive eCoaching for caregivers

● Persuasive health coaching applications

● Activity recognition and detection of critical situations in eCoaching systems

● Data analytics and machine learning to profile person-dependent patterns for integration

with eCoaching systems

● Enhancing health coaching with external services

● Intelligent coaching for active ageing

● Socially assistive robots in elderly care

Submissions Schedule:

  • March 30th, 2018: Deadline for paper submissions to Workshop
  • April 15th, 2018: Workshop paper notification
  • April 22nd, 2018: Deadline for Camera ready submission
  • May 21st, 2018: Workshop day

Submission Instructions

Contributions to the workshop will be reviewed by a TPC Committee and final decisions will be made by the Workshop organizers taking into account the originality of contributions and sustain on claims on future research in the field.

Please prepare your 4-6 pages paper using the ACM 2-column format. View the ACM guidelines and templates at this link (http://www.acm.org/publications/article-templates/proceedings-template.html/), and please read the below instructions. Please be sure to use the correct Category and Subject Descriptor in your paper. See the above guidelines for instructions and visit http://www.acm.org/about/class/2012 for more information.

Your paper must be submitted in PDF format. Send your PDF contributions by the deadline to the following email: sgabrielli [at] fbk [dot] eu.

Expected Outcomes:          

The expected result of the Workshop is the identification of the key challenges and opportunities for designing and deploying smart coaching solutions in health & wellbeing scenarios. In a short term the results of the workshop are intended to be published in a relevant journal to share with the larger community the views of the participants and contributors to the workshop. In the longer term, the recommendations on relevant opportunities and challenges on this field will be integrated in coming years Pervasive Health Conferences topics of interest.

Organizers

Silvia Gabrielli, PhD is senior researcher at Fondazione Bruno Kessler (Italy), working with the High Impact Initiative on Health&Wellbeing. Silvia’s current research is focused on the design of smart coaching solutions for resilience based interventions in the young (EU H2020 Project UPRIGHT) and personalized eCoaching interventions for chronic conditions (e.g., diabetes, eating disorders, mood disorders) in a stepped care approach.

Kate Marie, is the founder of IASO Health and co-author of several initiatives in the area of Slow Aging interventions and technologies. Kate’s professional path has also included the development of major websites that seek to engage and educate healthcare professionals and consumers to more efficiently and effectively engage with the health system.

Ahmed Fadhil, is a PhD candidate in Information Engineering and Computer Science at the University of Trento, with a background in HCI with a focus on health and wellbeing. His research investigates conversational agents and persuasive technologies for health coaching systems, and applying multidisciplinary research approaches to promote individuals’ overall health.

Mads Frost Ph.D., is a post-doctoral researcher at the IT University of Copenhagen (ITU), where he works in the Pervasive Interaction Technology (PIT) lab and he is Co-founder of Monsenso ApS, where he serves as the Chief Product Officer (CPO). His main research areas are Human-Computer Interaction (HCI).

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