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

doi:10.3233/SHTI220194

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

工業設計學系

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	https://doi.org/10.3233/SHTI220194
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 2 → 2021 10月 4

出版系列

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

Conference

Conference	18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021
城市	Virtual, Online
期間	21-10-02 → 21-10-04

UN SDG

此研究成果有助於以下永續發展目標

SDG 3 良好的健康和福祉

All Science Journal Classification (ASJC) codes

生物醫學工程
健康資訊學
健康資訊管理

存取文件

10.3233/SHTI220194

其它文件與鏈接

引用此

Wu, D. T. Y., Zhou, F., Su, W. C., Vu, H., Sahu, P., Harnett, B., Chiu, T. P., Vogel, C., & Lee, J. J. (2022). A User-Centered Evaluation of a COVID-19 Intelligent Query System (COVID-IQS). 於 P. Otero, P. Scott, S. Z. Martin, & E. Huesing (編輯), MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics (頁 824-828). (Studies in Health Technology and Informatics; 卷 290). IOS Press BV. https://doi.org/10.3233/SHTI220194

Wu, Danny T.Y. ; Zhou, Fangyu ; Su, Wu Chen 等. / A User-Centered Evaluation of a COVID-19 Intelligent Query System (COVID-IQS). MEDINFO 2021: 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. IOS Press BV, 2022. 頁 824-828 (Studies in Health Technology and Informatics).

@inproceedings{4e898b74644b4ecbbb5784fc746a76e3,

title = "A User-Centered Evaluation of a COVID-19 Intelligent Query System (COVID-IQS)",

abstract = "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.",

author = "Wu, \{Danny T.Y.\} and Fangyu Zhou and Su, \{Wu Chen\} and Hoang Vu and Piyush Sahu and Brett Harnett and Chiu, \{Tseng Ping\} and Craig Vogel and Lee, \{James J.\}",

note = "Publisher Copyright: {\textcopyright} 2022 International Medical Informatics Association (IMIA) and IOS Press.; 18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021 ; Conference date: 02-10-2021 Through 04-10-2021",

year = "2022",

month = jun,

day = "6",

doi = "10.3233/SHTI220194",

language = "English",

series = "Studies in Health Technology and Informatics",

publisher = "IOS Press BV",

pages = "824--828",

editor = "Paula Otero and Philip Scott and Martin, \{Susan Z.\} and Elaine Huesing",

booktitle = "MEDINFO 2021",

}

Wu, DTY, Zhou, F, Su, WC, Vu, H, Sahu, P, Harnett, B, Chiu, TP, Vogel, C & Lee, JJ 2022, A User-Centered Evaluation of a COVID-19 Intelligent Query System (COVID-IQS). 於 P Otero, P Scott, SZ Martin & E Huesing (編輯), MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, 卷 290, IOS Press BV, 頁 824-828, 18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021, Virtual, Online, 21-10-02. https://doi.org/10.3233/SHTI220194

A User-Centered Evaluation of a COVID-19 Intelligent Query System (COVID-IQS). / Wu, Danny T.Y.; Zhou, Fangyu; Su, Wu Chen 等.
MEDINFO 2021: 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. IOS Press BV, 2022. p. 824-828 (Studies in Health Technology and Informatics; 卷 290).

研究成果: Conference contribution

TY - GEN

T1 - A User-Centered Evaluation of a COVID-19 Intelligent Query System (COVID-IQS)

AU - Wu, Danny T.Y.

AU - Zhou, Fangyu

AU - Su, Wu Chen

AU - Vu, Hoang

AU - Sahu, Piyush

AU - Harnett, Brett

AU - Chiu, Tseng Ping

AU - Vogel, Craig

AU - Lee, James J.

PY - 2022/6/6

Y1 - 2022/6/6

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85131491727

UR - https://www.scopus.com/pages/publications/85131491727#tab=citedBy

U2 - 10.3233/SHTI220194

DO - 10.3233/SHTI220194

M3 - Conference contribution

C2 - 35673133

AN - SCOPUS:85131491727

T3 - Studies in Health Technology and Informatics

SP - 824

EP - 828

BT - MEDINFO 2021

A2 - Otero, Paula

A2 - Scott, Philip

A2 - Martin, Susan Z.

A2 - Huesing, Elaine

PB - IOS Press BV

T2 - 18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021

Y2 - 2 October 2021 through 4 October 2021

ER -

Wu DTY, Zhou F, Su WC, Vu H, Sahu P, Harnett B 等. A User-Centered Evaluation of a COVID-19 Intelligent Query System (COVID-IQS). 於 Otero P, Scott P, Martin SZ, Huesing E, 編輯, MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics. IOS Press BV. 2022. p. 824-828. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI220194

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

摘要

出版系列

Conference

UN SDG

All Science Journal Classification (ASJC) codes

存取文件

其它文件與鏈接

指紋

引用此