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 -------------------------------------------------------------------- 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@ur.de Bernd Ludwig - bernd.ludwg@ur.de Alan Said - alansaid@acm.org Hanna Schaefer - hanna.schaefer@tum.de Christoph Trattner - trattner.christoph@gmail.com -- ------------------------------------------------------- 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@know-center.at Tel: +43 650 2402801 Homepage: http://christophtrattner.info ------------------------------------------------------- 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 -------------------------------------------------------