Co-located with the 11th ACM Conference on Recommender Systems
c 2017. Copyright for the individual papers remains with the authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors. There are many reasons why people make poor decisions related to their health. They may be conditioned by busy lifestyles, abundant options, lack of knowledge, and overloading information, among other reasons. Yet these poor decisions are leading to epidemics, which represent some of the greatest challenges we face as a society today. Noncommunicable Diseases, which include cardiovascular diseases, cancer, chronic respiratory diseases and diabetes, account for around 60% of total deaths worldwide. These diseases share four behavioral 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 healthier, 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 nd challenging. Behavior change, health promotion, mental health promotion, health care support including patient diagnosis and treatments, and expert support are all areas for which we believe recommender systems can aid by o ering speci c, tailored suggestions. In recent years, recommender systems for health have become a popular topic within the Recommender Systems (RecSys) community and a selection of empirical contributions and demo systems have been published. Following the rst Health Recommender Systems (HRS) workshop on 2016, the second HRS workshop focuses on enhancing HRS results by elaborating previous discussions and attracting interdisciplinary researchers to present and discuss their research. This volume contains the papers presented at the 2nd international workshop on health recommender system on August 31, 2017, held as part of the 11th ACM Conference on Recommender Systems in Como, Italy. Nine technical papers and one position paper were selected through a rigorous reviewing process by at least three PC members. These papers cover topics on health promotion, health care, as well as methods. The HRS chairs would like to thank RecSys 2017 organizing committee, especially the RecSys workshop chairs for their support. We would also like to thank the authors, presenters, and PC members, whose e orts made the workshop possible.
Hanna Schafer Christoph Trattner Helma Torkamaan Andre Calero Valdez
Hanna Schafer Christoph Trattner Helma Torkamaan Andre Calero Valdez
Martin Wiesner Aysegul Dogangun Longqi Yang Mehdi Elahi Martijn Willemsen Francesco Ricci Kjetil N rvag Shlomo Berkovsky Morgan Harvey Georg Groh Ingmar Weber Michael Ekstrand Alexander Felfernig Toon De Pessemier Tim Altho Robert West
University of Seville, Spain / Maastricht University Netherlands University of Regensburg, Germany University of Skovde, Sweden TU Munchen, Germany MODUL University Vienna, Austria University of Duisburg-Essen, Germany RWTH Aachen University, Germany Keynote Abstract: Medical Diagnosis and Treatment as a Recommendation Problem . . . . .
Xavier Amatriain Towards Argumentation-based Recommendations for Personalised Patient Empowerment .
Juan Manuel Fernandez, Marco Mamei, Stefano Mariani, Felip Miralles, Alexander Steblin, Eloisa Vargiu and Franco Zambonelli Recommendation in Persuasive eHealth Systems: an E ective Strategy to Spot Users' Losing Motivation to Exercise . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Paolo Pilloni, Luca Piras, Ludovico Boratto, Salvatore Carta, Gianni Fenu and Fabrizio Mulas 1 2 6 PHARA: a personal health augmented reality assistant to support decision-making at grocery stores . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
Francisco Gutierrez, Bruno Cardoso and Katrien Verbert The Impact of Prediction Uncertainty in Recommendations for Health-Related Behavior . . 14
Katja Herrmanny and Aysegul Dogangun A Tool That Supports the Psychologically Based Design of Health-Related Interventions . . 39
Anthony Jameson