TY - GEN
T1 - Usability Evaluation of a Co-created Big Data Analytics Platform for Health Policy-Making
AU - Cleland, Brian
AU - Wallace, Jonathan
AU - Bond, Raymond
AU - Muuraiskangas, Salla
AU - Pajula, Juha
AU - Epelde, Gorka
AU - Arrúe, Mónica
AU - Álvarez, Roberto
AU - Black, Michaela
AU - Mulvenna, Maurice D.
AU - Rankin, Deborah
AU - Carlin, Paul
N1 - Funding Information:
Acknowledgements. The MIDAS Consortium gratefully acknowledge the support to this project from the European Union research fund ‘Big Data Supporting Public Health Policies’, under Grant Agreement No. 727721 (H2020-SC1-2016-CNECT SC1-PM-18-2016).
Funding Information:
The MIDAS Consortium gratefully acknowledge the support to this project from the European Union research fund ?Big Data Supporting Public Health Policies?, under Grant Agreement No. 727721 (H2020-SC1-2016-CNECT SC1-PM-18-2016).
Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019
Y1 - 2019
N2 - The increasingly important role of big data in organisational decision-making brings with it significant challenges in terms of designing usable software interfaces. Specifically, such interfaces must allow users to explore, analyse, and visualise complex data from heterogeneous sources and derive insights to support management decisions. This paper describes a usability evaluation of the MIDAS Project, a big data platform for health policy-making, developed by an EU-funded Horizon 2020 project involving a number of international partners and pilot sites. We describe how a combination of heuristic and formative user-centred evaluation methods were employed, and give a summary of the key findings. We discuss key insights from the evaluation, including the importance of having diverse users, the role played by users’ prior expectations, and the logistical challenge of coordinating user testing across multiple sites. Finally, we explore the relative value of each of the evaluation methods, and outline how our approach to usability testing will evolve for future iterations of the MIDAS platform.
AB - The increasingly important role of big data in organisational decision-making brings with it significant challenges in terms of designing usable software interfaces. Specifically, such interfaces must allow users to explore, analyse, and visualise complex data from heterogeneous sources and derive insights to support management decisions. This paper describes a usability evaluation of the MIDAS Project, a big data platform for health policy-making, developed by an EU-funded Horizon 2020 project involving a number of international partners and pilot sites. We describe how a combination of heuristic and formative user-centred evaluation methods were employed, and give a summary of the key findings. We discuss key insights from the evaluation, including the importance of having diverse users, the role played by users’ prior expectations, and the logistical challenge of coordinating user testing across multiple sites. Finally, we explore the relative value of each of the evaluation methods, and outline how our approach to usability testing will evolve for future iterations of the MIDAS platform.
KW - Big data
KW - Evaluation
KW - Health
KW - Policy-making
KW - Usability
KW - User-centred
UR - http://www.scopus.com/inward/record.url?scp=85069809567&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-22660-2_13
DO - 10.1007/978-3-030-22660-2_13
M3 - Conference article in proceedings
AN - SCOPUS:85069809567
SN - 978-3-030-22659-6
T3 - Lecture Notes in Computer Science
SP - 194
EP - 207
BT - Human Interface and the Management of Information
A2 - Yamamoto, Sakae
A2 - Mori, Hirohiko
PB - Springer
T2 - Thematic Area on Human Interface and the Management of Information, HIMI 2019
Y2 - 26 July 2019 through 31 July 2019
ER -
