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White Paper on User Centred Design to Address Challenges in the Design and Creation of Agricultural Data Visualisation Interfaces

Author

Listed:
  • Paula Gonzalez

    (Vicomtech Foundation Basque Research and Technology Alliance (BRTA), 20000 Donostia, Spain)

  • Izar Azpiroz

    (Vicomtech Foundation Basque Research and Technology Alliance (BRTA), 20000 Donostia, Spain)

  • Mikel Zabala

    (Vicomtech Foundation Basque Research and Technology Alliance (BRTA), 20000 Donostia, Spain)

  • Giovanni Paolini

    (Vicomtech Foundation Basque Research and Technology Alliance (BRTA), 20000 Donostia, Spain)

  • Mikel Maiza

    (Vicomtech Foundation Basque Research and Technology Alliance (BRTA), 20000 Donostia, Spain)

Abstract

The increase in agricultural data has created a need for developing tools that can manage, share, and visualise this information, while also being accessible to farmers. The use of different technical languages, varying needs, and differing objectives for the tools being developed and used creates a gap between technology developers and farmers, leading to inefficient information transfer. Consequently, interfaces are often poorly adapted to the real needs of end-users and lack essential functionality. This white paper aims to propose a User-Centred Design methodology in order to address the challenges encountered in creating interfaces for shared agricultural Data Space Ecosystems. The proposed methodology, an adaptation of ISO 9241:210-2019, highlights the importance of user participation at various stages of the interface design cycle for the creation of user-adaptive technologies.

Suggested Citation

  • Paula Gonzalez & Izar Azpiroz & Mikel Zabala & Giovanni Paolini & Mikel Maiza, 2024. "White Paper on User Centred Design to Address Challenges in the Design and Creation of Agricultural Data Visualisation Interfaces," Agriculture, MDPI, vol. 14(10), pages 1-20, October.
  • Handle: RePEc:gam:jagris:v:14:y:2024:i:10:p:1808-:d:1498388
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    References listed on IDEAS

    as
    1. Raul Palma & Ioanna Roussaki & Till Döhmen & Rob Atkinson & Soumya Brahma & Christoph Lange & George Routis & Marcin Plociennik & Szymon Mueller, 2022. "Agricultural Information Model," Springer Optimization and Its Applications, in: Dionysis D. Bochtis & Claus Grøn Sørensen & Spyros Fountas & Vasileios Moysiadis & Panos M. Pardalos (ed.), Information and Communication Technologies for Agriculture—Theme III: Decision, pages 3-36, Springer.
    2. Édson Luis Bolfe & Lúcio André de Castro Jorge & Ieda Del’Arco Sanches & Ariovaldo Luchiari Júnior & Cinthia Cabral da Costa & Daniel de Castro Victoria & Ricardo Yassushi Inamasu & Célia Regina Grego, 2020. "Precision and Digital Agriculture: Adoption of Technologies and Perception of Brazilian Farmers," Agriculture, MDPI, vol. 10(12), pages 1-16, December.
    3. Volker Hoffmann & Kirsten Probst & Anja Christinck, 2007. "Farmers and researchers: How can collaborative advantages be created in participatory research and technology development?," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 24(3), pages 355-368, September.
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