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International Conference on Human-Computer Interaction

HCII 2021: Learning and Collaboration Technologies: New Challenges and Learning Experiences pp 374–384Cite as

Usability Study of CARTIER-IA: A Platform for Medical Data and Imaging Management

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12784))

Abstract

Artificial Intelligence algorithms’ application to medical data has gained relevance due to its powerful benefits among different research tasks. Nevertheless, medical data is heterogeneous and diverse, and these algorithms need technological support to tackle these data management challenges. The CARTIER-IA platform enables different roles (including principal researchers, IA developers and data collectors) to unify medical data, both structured data and DICOM images, and to apply Artificial Intelligence algorithms to them in a straightforward way through an online web application. However, given the diversity of roles involved in the platform, it is essential to account for its usability. It is necessary that users feel comfortable using the platform as relevant and complex tasks are carried out through its different services (such as the application of algorithms to the stored data, the manual edition of medical images or the visualization of structured data). This work presents a heuristic evaluation of the CARTIER-IA platform to improve its interaction mechanisms and get the most out of its functionalities.

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Acknowledgements

This research work has been supported by the Spanish Ministry of Education and Vocational Training under an FPU fellowship (FPU17/03276). This work was also supported by national (PI14/00695, PIE14/00066, PI17/00145, DTS19/00098, PI19/00658, PI19/00656 Institute of Health Carlos III, Spanish Ministry of Economy and Competitiveness and co-funded by ERDF/ESF, “Investing in your future”) and community (GRS 2033/A/19, GRS 2030/A/19, GRS 2031/A/19, GRS 2032/A/19, SACYL, Junta Castilla y León) competitive grants.

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Authors and Affiliations

  1. GRIAL Research Group, Research Institute for Educational Sciences, University of Salamanca, Salamanca, Spain

    Andrea Vázquez-Ingelmo, Julia Alonso, Alicia García-Holgado & Francisco J. García-Peñalvo

  2. Cardiology Department, Hospital Universitario de Salamanca, SACyL. IBSAL, Facultad de Medicina, University of Salamanca, and CIBERCV (ISCiii), Salamanca, Spain

    Jesús Sampedro-Gómez, Antonio Sánchez-Puente, P. Ignacio Dorado-Díaz & Pedro L. Sánchez

  3. Philips Healthcare, Salamanca, Spain

    Víctor Vicente-Palacios

Authors
  1. Andrea Vázquez-Ingelmo
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  2. Julia Alonso
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  3. Alicia García-Holgado
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  4. Francisco J. García-Peñalvo
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  5. Jesús Sampedro-Gómez
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  6. Antonio Sánchez-Puente
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  7. Víctor Vicente-Palacios
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  8. P. Ignacio Dorado-Díaz
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  9. Pedro L. Sánchez
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Corresponding author

Correspondence to Andrea Vázquez-Ingelmo .

Editor information

Editors and Affiliations

  1. Department of Multimedia and Graphic Arts, Cyprus University of Technology, Lemesos, Cyprus

    Panayiotis Zaphiris

  2. Research Center on Interactive Media, Smart Systems and Emerging Technologies (CYENS), Cyprus University of Technology, Limassol, Cyprus

    Andri Ioannou

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Vázquez-Ingelmo, A. et al. (2021). Usability Study of CARTIER-IA: A Platform for Medical Data and Imaging Management. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies: New Challenges and Learning Experiences. HCII 2021. Lecture Notes in Computer Science(), vol 12784. Springer, Cham. https://doi.org/10.1007/978-3-030-77889-7_26

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  • DOI: https://doi.org/10.1007/978-3-030-77889-7_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77888-0

  • Online ISBN: 978-3-030-77889-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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