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

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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.

Originalsprache	Englisch
Titel	Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022
Redakteure/-innen	Claudio Agostino Ardagna, Carl K. Chang, Rong N. Chang, Ernesto Damiani, Robert Ward, Fatos Xhafa, Jia Zhang
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
Seiten	24
Seitenumfang	1
ISBN (elektronisch)	9781665481311
DOIs	https://doi.org/10.1109/SERVICES55459.2022.00037
Publikationsstatus	Veröffentlicht - 2022
Extern publiziert	Ja
Veranstaltung	2022 IEEE World Congress on Services, SERVICES 2022 - Barcelona, Spanien Dauer: 10 Juli 2022 → 16 Juli 2022

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

Konferenz

Konferenz	2022 IEEE World Congress on Services, SERVICES 2022
Land/Gebiet	Spanien
Ort	Barcelona
Zeitraum	10/07/22 → 16/07/22

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10.1109/SERVICES55459.2022.00037

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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 (Hrsg.), Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022 (S. 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. Hrsg. / 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. S. 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 (Hrsg.), 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., S. 24, 2022 IEEE World Congress on Services, SERVICES 2022, Barcelona, Spanien, 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. Hrsg. / 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. S. 24 (Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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.

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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, Hrsg., Proceedings - 2022 IEEE World Congress on Services, SERVICES 2022. Institute of Electrical and Electronics Engineers Inc. 2022. S. 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

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