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: Contribution to conferencePaper

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.

Conference

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

Fingerprint

Health
Testing
Decision making
Big data

Keywords

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

Cite this

Cleland, B., Wallace, J. G., Bond, RR., Muurais, S., Pajula, J., Epelde, G., ... Carlin, P. (2019). Usability Evaluation of a Co-created Big Data Analytics Platform for Health Policy-Making. 194-207. Paper presented at International Conference on Human-Computer Interaction, Orlando, United States. https://doi.org/10.1007/978-3-030-22660-2_13
Cleland, Brian ; Wallace, J. G. ; Bond, RR ; Muurais, Salla ; Pajula, Juha ; Epelde, Gorka ; Arrúec, Mónica ; Álvarez, Roberto ; Black, Michaela ; Mulvenna, Maurice ; Rankin, Debbie ; Carlin, Paul. / Usability Evaluation of a Co-created Big Data Analytics Platform for Health Policy-Making. Paper presented at International Conference on Human-Computer Interaction, Orlando, United States.14 p.
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Cleland, B, Wallace, JG, 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' Paper presented at International Conference on Human-Computer Interaction, Orlando, United States, 26/07/19 - 31/07/19, pp. 194-207. https://doi.org/10.1007/978-3-030-22660-2_13

Usability Evaluation of a Co-created Big Data Analytics Platform for Health Policy-Making. / Cleland, Brian; Wallace, J. G.; Bond, RR; Muurais, Salla; Pajula, Juha; Epelde, Gorka; Arrúec, Mónica ; Álvarez, Roberto; Black, Michaela; Mulvenna, Maurice; Rankin, Debbie; Carlin, Paul.

2019. 194-207 Paper presented at International Conference on Human-Computer Interaction, Orlando, United States.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Usability Evaluation of a Co-created Big Data Analytics Platform for Health Policy-Making

AU - Cleland, Brian

AU - Wallace, J. G.

AU - Bond, RR

AU - Muurais, Salla

AU - Pajula, Juha

AU - Epelde, Gorka

AU - Arrúec, Mónica

AU - Álvarez, Roberto

AU - Black, Michaela

AU - Mulvenna, Maurice

AU - Rankin, Debbie

AU - Carlin, Paul

PY - 2019/6/28

Y1 - 2019/6/28

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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 - Health

KW - Usability

KW - Policy-making

KW - User-centred

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DO - 10.1007/978-3-030-22660-2_13

M3 - Paper

SP - 194

EP - 207

ER -

Cleland B, Wallace JG, Bond RR, Muurais S, Pajula J, Epelde G et al. Usability Evaluation of a Co-created Big Data Analytics Platform for Health Policy-Making. 2019. Paper presented at International Conference on Human-Computer Interaction, Orlando, United States. https://doi.org/10.1007/978-3-030-22660-2_13