Workshop on Health Recommender Systems

Information systems are becoming more and more intertwined with systems and approaches developed with the purpose of keeping us healthy and increasing our general wellbeing. In the two previous workshops on Health Recommender Systems (HRS), we elaborated a great variety of fields in which recommender systems can improve our awareness, understanding and behavior regarding our own, and the general public’s health. At the same time, these application areas bring new challenges into the recommender community. Recommendations that influence the health status of a patient need to be liable, today, they often involve a human in the loop to make sure the recommendations are sound. To make the recommender liable, complex domain-specific user models need to be created, which creates privacy issues. While trust in a recommendation needs to be explicitly earned by e.g. transparency, explanations and empowerment, other systems might want to persuade users into beneficial actions that would not be willingly chosen otherwise. The variety of those challenges also results from the number and diversity of stakeholders involved in health systems. Taking the patient’s perspective, simple interaction and safety against harmful recommendations might be the prioritized concern. For clinicians and experts, on the other hand, what matters is precise and accurate content. Finally, health care providers, insurance providers, and clinics are interested in other aspects, e.g. success rates, study results, and financial benefits of the new systems. This workshop goes deeper into the discussions started at the two prior workshops and works towards further development of the research topics in HRS.

Organizers
  • David Elsweiler, University of Regensburg, Germany
  • Bernd Ludwig, University of Regensburg, Germany
  • Alan Said, University of Skövde, Sweden
  • Hanna Schaefer, TU München, Germany
  • Christoph Trattner, University of Bergen, Norway
  • Helma Torkamaan, University of Duisburg-Essen, Germany
Website

https://healthrecsys.github.io/2018/

Date

Saturday, Oct 6, 2018, 09:00 (full day)

Location

Parq A

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