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HELPeR: Interface Design Decision and Evaluation
Khushboo Thaker1, Behnam Rahadari1, Vivian Hui2
1School of Computing and Information, University of Pittsburgh, USA.
Abstract:
Inequities in health information access contribute to disparities in health outcomes. Health recommender systems have emerged as a promising solution to help users find the right information. Despite their various applications, it remains understudied how these systems can aid cancer patients. In this paper, we introduce HELPeR, a recommender system designed to assist ovarian cancer patients with their information needs. The design addresses cold-start challenges, drawing input from health experts and ovarian cancer forum posts. We evaluated HELPeR with nurse practitioners in a cold-start scenario, highlighting its benefits and areas for future improvement.
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