HELPeR: Interface Design Decision and Evaluation

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Khushboo Thaker, Behnam Rahadari, Vivian Hui, Zhimeng Luo, Youjia Wang, Peter Brusilovsky, Daqing He, Heidi Donovan, Young Ji Lee

Published: 24 Jul 2024, Last Modified: 16 Dec 2025CrossrefEveryoneRevisionsCC BY-SA 4.0
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.