Abstract
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.
Original language | English |
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Title of host publication | Human Interface and the Management of Information |
Subtitle of host publication | Visual Information and Knowledge Management, HCII 2019 |
Editors | Sakae Yamamoto, Hirohiko Mori |
Publisher | Springer |
Pages | 194-207 |
Number of pages | 14 |
ISBN (Electronic) | 978-3-030-22660-2 |
ISBN (Print) | 978-3-030-22659-6 |
DOIs | |
Publication status | Published - 2019 |
MoE publication type | A4 Article in a conference publication |
Event | Thematic Area on Human Interface and the Management of Information, HIMI 2019 : held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States Duration: 26 Jul 2019 → 31 Jul 2019 |
Publication series
Series | Lecture Notes in Computer Science |
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Volume | 11569 |
ISSN | 0302-9743 |
Conference
Conference | Thematic Area on Human Interface and the Management of Information, HIMI 2019 |
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Country/Territory | United States |
City | Orlando |
Period | 26/07/19 → 31/07/19 |
Funding
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).
Keywords
- Big data
- Evaluation
- Health
- Policy-making
- Usability
- User-centred