Usability Evaluation of a Co-created Big Data Analytics Platform for Health Policy-Making

Brian Cleland, J. G. Wallace, RR Bond, Salla Muurais, Juha Pajula, Gorka Epelde, Mónica Arrúec, Roberto Álvarez, Michaela Black, Maurice Mulvenna, Debbie Rankin, Paul Carlin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
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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 languageEnglish
Title of host publicationHuman 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 publicationVisual Information and Knowledge Management. HCII 2019
EditorsSakae Yamamoto, Hirohiko Mori
Pages194-207
Number of pages14
Volume11569
ISBN (Electronic)978-3-030-22660-2
DOIs
Publication statusPublished - 28 Jun 2019
EventInternational Conference on Human-Computer Interaction - USA, Orlando, United States
Duration: 26 Jul 201931 Jul 2019
Conference number: 21
http://2019.hci.international/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11569 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Human-Computer Interaction
Abbreviated titleHCII
CountryUnited States
CityOrlando
Period26/07/1931/07/19
Internet address

Keywords

  • Big data
  • Health
  • Usability
  • Policy-making
  • User-centred
  • Evaluation

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  • Cite this

    Cleland, B., Wallace, J. G., Bond, RR., Muurais, S., Pajula, J., Epelde, G., Arrúec, M., Álvarez, R., Black, M., Mulvenna, M., Rankin, D., & Carlin, P. (2019). Usability Evaluation of a Co-created Big Data Analytics Platform for Health Policy-Making. In S. Yamamoto, & H. Mori (Eds.), 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: Visual Information and Knowledge Management. HCII 2019 (Vol. 11569, pp. 194-207). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11569 LNCS). https://doi.org/10.1007/978-3-030-22660-2_13