[Air-L] CFP: HealthRecSys 2016 - deadline extended until July 3rd

[Christoph Trattner]

  CALL FOR PAPERS
International Workshop on Engendering Health with RecSys (HealthRecSys 2016)
              to be held in Boston, USA
    co-located with ACM RECSYS 2016 (https://recsys.acm.org/)

      Website: http://healthrecsys.ur.de
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Important Dates:
================
** July, 3rd, 2016 Paper submission deadline (EXTENDED DEADLINE)
** July, 15th, 2016 Notification to authors
** July, 29th, 2016, Camera-Ready Version
** September, 15th-19th, 2016 Recsys conference

Workshop Organizers:
====================
David Elsweiler (University of Regensburg, Germany)
Bernd Ludwig (University of Regensburg, Germany)
Alan Said (University of Skövde, Sweden)
Hanna Schaefer (TU-Muenchen, Germany)
Christoph Trattner (Know-Center, Austria)

Program Committee:
====================
Francesco Ricci - University of Bolzano
Morgan Harvey - Northumbria University
Ge Mouzhi - University of Bolzano
Georg Groh - TU Munich
Jill Freyne - CSIRO
Marko Tkalcic - University of Bolzano
Shlomo Berkovsky - CSIRO
Neal Lathia - University of Cambridge
Cathal Gurrin - Dublin City University
Mark Dunlop - University of Strathclyde
Andreas Komninos - University of Strathclyde
Aiden Doherty - University of Oxford
Christoph Palm - OTH Regensburg
Eelco Herder - L3S
Robert West - Stanford
Munmun De Choudhury - Georgia Tech
Ingmar Weber - Qatar Computing Research Institute
Kjetil Norvag - NTNU

Objectives & Topics:
====================
Busy lifestyles, abundant options, lack of knowledge ... there are many
reasons why people make poor decisions relating to their health. Yet these
poor decisions are leading to epidemics, which represent some of the
greatest challenges we face as a society today. Noncommunicable Diseases
(NCDs), which include cardiovascular diseases, cancer, chronic respiratory
diseases and diabetes, account for approx. 60% of total premature deaths
worldwide. These diseases share the same four behavioural risk factors:
tobacco use, unhealthy diet, physical inactivity and harmful consumption of
alcohol and can be prevented and sometimes even reversed with simple
lifestyle changes. Eating more healthily, exercising more appropriately,
sleeping and relaxing more, as well as simply being more aware of one's
state of health are all things that would lead to improved health. Yet
knowing exactly what to change and how, implementing changes and
maintaining changes over long time periods are all things people find
challenging. These are also problems, for which we believe recommender
systems can provide assistance by offering specific, tailored suggestions
for behavioural change. In recent years recommender systems for health has
become a popular topic within the RecSys community and a selection of
empirical contributions and demo systems have been published. Efforts to
date, however have been sporadic and lack coordination. We lack shared
infrastructure such as datasets, appropriate cross-disciplinary knowledge,
even agreed upon goals.

It is our aim to use this workshop as a vehicle to:

** Establish the problem as a prominent RecSys topic
** Create a community of researchers who will determine a concrete research
agenda for health in RecSys
** Attract scientists from other domains to RecSys: health (e.g. sports,
nutrition, medicine), psychology, signal processing, wearables, HCI, etc.
** Create new ideas for collaboration, particularly cross-domain
collaborations
** Establish shared infrastructure (datasets and tools)

We invite submissions that may include the following topics, but are not
limited to:

** Motivation - increasing motivation, understanding motivation, utilising
psychological models, gamification
** Algorithms for Health Recommendations
** Interfaces - Explanations/Presentation, Feedback, Usability
** Persuasive Design
** Sensors - e.g. activity tracking, context detection, quantified self,
motivation by self assessment
** Mobile devices
** Gamification - e.g. Making exercise or diet fun
** Social Motivation - Inclusion of Social Context, Coactivity and Group
Recommenders
** Knowledge representation - Transfer of domain knowledge to digital
systems
** Ethics - Gap between recommendations and medical advice
** Ease of use - embedding systems into everyday life Learning about health
** User modelling, behavioural analytics and behavioural change

Submissions:
============
We solicit short research papers (up to 4 pages) & short postion papers (up
to 2 pages), both in the ACM conference paper style.
Papers should be submitted in EasyChair to
https://easychair.org/conferences/?conf=healthrecsys2016

Submission guidelines:
======================
All submitted papers must be written in English;
* contain author names, affiliations, and email addresses;
* be formatted according to the ACM SIG Proceedings template (
http://www.acm.org/sigs/publications/proceedings-templates) with a font
size no smaller than 9pt;
* be in PDF (make sure that the PDF can be viewed on any platform), and
formatted for US Letter size;

All papers will be peer-reviewed, must not be under review in any other
conference, workshop or journal (at the time of submission),
and must contain novel contributions. Accepted papers will be published
according to the ACM RECSYS 2016 WS publication rules.

Location:
=========
The workshop will take place at the Massachusetts Institute of Technology
(MIT) or the IBM Research campuses in Boston, MA, USA (venue not fixed yet)
and will be held in conjunction with the 10th ACM Conference on Recommender
Systems.
Further information of this location can be found on the ACM RecSys
website: https://recsys.acm.org/.

Contact:
========
David Elsweiler - david.elsweiler at ur.de
Bernd Ludwig - bernd.ludwg at ur.de
Alan Said - alansaid at acm.org
Hanna Schaefer - hanna.schaefer at tum.de
Christoph Trattner - trattner.christoph at gmail.com

-- 
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Dipl.-Ing. Dr.techn. Christoph Trattner BSc
Know-Center
Research Center for Big Data Analytics & Data Driven Business
Graz University of Technology, Austria
E-mail: ctrattner at know-center.at
Tel: +43 650 2402801
Homepage: http://christophtrattner.info
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New book: Mining, Modeling, and Recommending 'Things' in Social Media*
by M. Atzmueller, A. Chin, C. Scholz, C. Trattner (eds.)
http://link.springer.com/978-3-319-14723-9
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