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Smart Dairy Farming in practice : design requirements for user-friendly data based services

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Author: Weerdt, C.A. van der · Kort, J. · Boer, J. de · Paradies, G.L.
Source:Conference proceedings for the International Conference on Precision Dairy Farming, 21-23 June, Leeuwarden, 427-432
Identifier: 572298
Keywords: Informatics · Adoption · Scenarios · Storyboards · User experience · Value · Information Society · Human & Operational Modelling · HOI - Human Behaviour & Organisational Innovations · ELSS - Earth, Life and Social Sciences


Key for precision dairy farming is the management of different kinds of (sensor) data from multiple sources and its disclosure to users. The data can be used to implement services that support farmers to care for individual animals and work more effectively. Naturally, these services need to provide added value to be successful and adopted. Our results show that added value can be found in services that are fine-tuned to a farmer’s daily business/business processes and that are easily applicable and usable in daily business. The specific design of the front-end and the functionality of these precision dairy farming services is most important in creating the above addressed added value. This paper addresses research in understanding what added value means to farmers in the context of precision dairy farming and how this insight can best be translated into concrete functionalities and front-end designs of precision dairy farming services. Through contextual inquiry insights in a farmer’s values in his/her work and preferences therein are explored based on the User eXperience (UX) framework . This framework focusses on three levels of experiences: 1) The values important to a user that should be supported; 2) the functionality, interactions and behaviors that support and belong to these values in practice; and 3) the aesthetic experience (e.g. form) of the front-end. The results of these contextual inquiries combined with earlier research results were translated into different storyboards expressing different values (meaning) and functionalities (interactics) important to different kinds of farmers. The next step is the validation of these storyboards in workshops and the translation of the results into specific requirements for the development of precision dairy farming services that provide added value for different kinds of farmers.