An Empirical Study on How Well Do COVID-19 Information Dashboards Service Users' Information Needs

Xinyan Li; Han Wang; Chunyang Chen; John Grundy

doi:10.1109/SERVICES55459.2022.00037

An Empirical Study on How Well Do COVID-19 Information Dashboards Service Users' Information Needs

Xinyan Li, Han Wang, Chunyang Chen, John Grundy

Monash University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since its first being reported in December 2019, COVID-19 has spread quickly around the world, and becomes a global pandemic. Previous information sources have a number of problems when providing COVID-19 information web services. First, the information from government or traditional media (i.e., TV and newspaper) is not frequently updated. Second, different layers of the government (state and federal government) may provide contradictory information. Also, there are many rumours spread on social media, which makes it difficult for people to know who and what to trust. Finally, the current information about COVID-19 is fragmented. It takes effort for people to aggregate the information they need to see from different places.

Original language	English
Title of host publication	Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022
Editors	Claudio Agostino Ardagna, Carl K. Chang, Rong N. Chang, Ernesto Damiani, Robert Ward, Fatos Xhafa, Jia Zhang
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	24
Number of pages	1
ISBN (Electronic)	9781665481311
DOIs	https://doi.org/10.1109/SERVICES55459.2022.00037
State	Published - 2022
Externally published	Yes
Event	2022 IEEE World Congress on Services, SERVICES 2022 - Barcelona, Spain Duration: 10 Jul 2022 → 16 Jul 2022

Publication series

Name	Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022

Conference

Conference	2022 IEEE World Congress on Services, SERVICES 2022
Country/Territory	Spain
City	Barcelona
Period	10/07/22 → 16/07/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SERVICES55459.2022.00037

Cite this

Li, X., Wang, H., Chen, C., & Grundy, J. (2022). An Empirical Study on How Well Do COVID-19 Information Dashboards Service Users' Information Needs. In C. A. Ardagna, C. K. Chang, R. N. Chang, E. Damiani, R. Ward, F. Xhafa, & J. Zhang (Eds.), Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022 (pp. 24). (Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SERVICES55459.2022.00037

Li, Xinyan ; Wang, Han ; Chen, Chunyang et al. / An Empirical Study on How Well Do COVID-19 Information Dashboards Service Users' Information Needs. Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022. editor / Claudio Agostino Ardagna ; Carl K. Chang ; Rong N. Chang ; Ernesto Damiani ; Robert Ward ; Fatos Xhafa ; Jia Zhang. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 24 (Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022).

@inproceedings{5cee462805a142369486cf42f42ac340,

title = "An Empirical Study on How Well Do COVID-19 Information Dashboards Service Users' Information Needs",

abstract = "Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since its first being reported in December 2019, COVID-19 has spread quickly around the world, and becomes a global pandemic. Previous information sources have a number of problems when providing COVID-19 information web services. First, the information from government or traditional media (i.e., TV and newspaper) is not frequently updated. Second, different layers of the government (state and federal government) may provide contradictory information. Also, there are many rumours spread on social media, which makes it difficult for people to know who and what to trust. Finally, the current information about COVID-19 is fragmented. It takes effort for people to aggregate the information they need to see from different places.",

author = "Xinyan Li and Han Wang and Chunyang Chen and John Grundy",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE World Congress on Services, SERVICES 2022 ; Conference date: 10-07-2022 Through 16-07-2022",

year = "2022",

doi = "10.1109/SERVICES55459.2022.00037",

language = "English",

series = "Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "24",

editor = "Ardagna, {Claudio Agostino} and Chang, {Carl K.} and Chang, {Rong N.} and Ernesto Damiani and Robert Ward and Fatos Xhafa and Jia Zhang",

booktitle = "Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022",

}

Li, X, Wang, H, Chen, C & Grundy, J 2022, An Empirical Study on How Well Do COVID-19 Information Dashboards Service Users' Information Needs. in CA Ardagna, CK Chang, RN Chang, E Damiani, R Ward, F Xhafa & J Zhang (eds), Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022. Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022, Institute of Electrical and Electronics Engineers Inc., pp. 24, 2022 IEEE World Congress on Services, SERVICES 2022, Barcelona, Spain, 10/07/22. https://doi.org/10.1109/SERVICES55459.2022.00037

An Empirical Study on How Well Do COVID-19 Information Dashboards Service Users' Information Needs. / Li, Xinyan; Wang, Han; Chen, Chunyang et al.
Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022. ed. / Claudio Agostino Ardagna; Carl K. Chang; Rong N. Chang; Ernesto Damiani; Robert Ward; Fatos Xhafa; Jia Zhang. Institute of Electrical and Electronics Engineers Inc., 2022. p. 24 (Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An Empirical Study on How Well Do COVID-19 Information Dashboards Service Users' Information Needs

AU - Li, Xinyan

AU - Wang, Han

AU - Chen, Chunyang

AU - Grundy, John

PY - 2022

Y1 - 2022

N2 - Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since its first being reported in December 2019, COVID-19 has spread quickly around the world, and becomes a global pandemic. Previous information sources have a number of problems when providing COVID-19 information web services. First, the information from government or traditional media (i.e., TV and newspaper) is not frequently updated. Second, different layers of the government (state and federal government) may provide contradictory information. Also, there are many rumours spread on social media, which makes it difficult for people to know who and what to trust. Finally, the current information about COVID-19 is fragmented. It takes effort for people to aggregate the information they need to see from different places.

AB - Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since its first being reported in December 2019, COVID-19 has spread quickly around the world, and becomes a global pandemic. Previous information sources have a number of problems when providing COVID-19 information web services. First, the information from government or traditional media (i.e., TV and newspaper) is not frequently updated. Second, different layers of the government (state and federal government) may provide contradictory information. Also, there are many rumours spread on social media, which makes it difficult for people to know who and what to trust. Finally, the current information about COVID-19 is fragmented. It takes effort for people to aggregate the information they need to see from different places.

UR - http://www.scopus.com/inward/record.url?scp=85138328675&partnerID=8YFLogxK

U2 - 10.1109/SERVICES55459.2022.00037

DO - 10.1109/SERVICES55459.2022.00037

M3 - Conference contribution

AN - SCOPUS:85138328675

T3 - Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022

SP - 24

BT - Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022

A2 - Ardagna, Claudio Agostino

A2 - Chang, Carl K.

A2 - Chang, Rong N.

A2 - Damiani, Ernesto

A2 - Ward, Robert

A2 - Xhafa, Fatos

A2 - Zhang, Jia

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE World Congress on Services, SERVICES 2022

Y2 - 10 July 2022 through 16 July 2022

ER -

Li X, Wang H, Chen C, Grundy J. An Empirical Study on How Well Do COVID-19 Information Dashboards Service Users' Information Needs. In Ardagna CA, Chang CK, Chang RN, Damiani E, Ward R, Xhafa F, Zhang J, editors, Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 24. (Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022). doi: 10.1109/SERVICES55459.2022.00037

An Empirical Study on How Well Do COVID-19 Information Dashboards Service Users' Information Needs

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this