A User-Centered Evaluation of a COVID-19 Intelligent Query System (COVID-IQS)

Danny T.Y. Wu, Fangyu Zhou, Wu Chen Su, Hoang Vu, Piyush Sahu, Brett Harnett, Tseng Ping Chiu, Craig Vogel, James J. Lee

研究成果: Conference contribution

摘要

As the fight against COVID-19 continues, it is critical to discover and accumulate knowledge in scientific literature to combat the pandemic. In this work, we shared the experience in developing an intelligent query system on COVID-19 literature. We conducted a user-centered evaluation with 12 researchers in our institution and identified usability issues in four categories: distinct user needs, functionality errors, suboptimal information display, and implementation errors. Furthermore, we shared two lessons for building such a COVID-19 literature search engine. We will deploy the system and continue refining it through multiple phases of evaluation to aid in redesigning the system to accommodate different user roles as well as enhancing repository features to support collaborative information seeking. The successful implementation of the COVID-IQS can support knowledge discovery and hypothesis generation in our institution and can be shared with other institutions to make a broader impact.

原文English
主出版物標題MEDINFO 2021
主出版物子標題One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics
編輯Paula Otero, Philip Scott, Susan Z. Martin, Elaine Huesing
發行者IOS Press BV
頁面824-828
頁數5
ISBN(電子)9781643682648
DOIs
出版狀態Published - 2022 6月 6
事件18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021 - Virtual, Online
持續時間: 2021 10月 22021 10月 4

出版系列

名字Studies in Health Technology and Informatics
290
ISSN(列印)0926-9630
ISSN(電子)1879-8365

Conference

Conference18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021
城市Virtual, Online
期間21-10-0221-10-04

All Science Journal Classification (ASJC) codes

  • 生物醫學工程
  • 健康資訊學
  • 健康資訊管理

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