HELPeR: Interface Design Decision and Evaluation

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

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationInnovation in Applied Nursing Informatics
EditorsGillian Strudwick, Nicholas R. Hardiker, Glynda Rees, Robyn Cook, Robyn Cook, Young Ji Lee
PublisherIOS Press BV
Pages750-751
Number of pages2
ISBN (Electronic)9781643685274
DOIs
Publication statusPublished - 24 Jul 2024
Event16th International Congress on Nursing Informatics, NI 2024 - Manchester, United Kingdom
Duration: 28 Jul 202431 Jul 2024

Publication series

NameStudies in Health Technology and Informatics
Volume315
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference16th International Congress on Nursing Informatics, NI 2024
Country/TerritoryUnited Kingdom
CityManchester
Period28/07/2431/07/24

Keywords

  • Cold-start
  • Health Recommender System
  • System Design

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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