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. Visual Information and Knowledge Management - Thematic Area, HIMI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings |
Subtitle of host publication | Visual Information and Knowledge Management. HCII 2019 |
Editors | Sakae Yamamoto, Hirohiko Mori |
Pages | 194-207 |
Number of pages | 14 |
Volume | 11569 |
ISBN (Electronic) | 978-3-030-22660-2 |
DOIs | |
Publication status | Published (in print/issue) - 28 Jun 2019 |
Event | International Conference on Human-Computer Interaction - USA, Orlando, United States Duration: 26 Jul 2019 → 31 Jul 2019 Conference number: 21 http://2019.hci.international/ |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11569 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Conference on Human-Computer Interaction |
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Abbreviated title | HCII |
Country/Territory | United States |
City | Orlando |
Period | 26/07/19 → 31/07/19 |
Internet address |
Keywords
- Big data
- Health
- Usability
- Policy-making
- User-centred
- Evaluation
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Michaela Black
- School of Computing, Eng & Intel. Sys - Professor of Artificial Intelligence
- Faculty Of Computing, Eng. & Built Env. - Full Professor
Person: Academic
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Debbie Rankin
- School of Computing, Eng & Intel. Sys - Senior Lecturer in Computer Science
- Faculty Of Computing, Eng. & Built Env. - Senior Lecturer
Person: Academic