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Innovation in Traditional Productive Sectors - Visual Curation in Design

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 1203)

Abstract

The purpose of this paper aims to describe the implementation of a Design Diagnosis practice within the scope of an International project under the acronym – REINOVA (Reindustrialization, entrepreneurship, and innovation in traditional productive sectors) was a project conducted by an international consortium composed by Portuguese and Spanish Institutions. The research presented is based on specific implementation of a strategy for the development of solutions within the scope of Design from the ESART partner within the REINOVA methodology. The discussion sessions that included the display of visual boards to the micro-entrepreneurs summarized the results of the image diagnosis and positively influenced the consumption context of some of the products previously idealized, namely the target audience, as well as the doses and form of presentation/communication of the product. The incentive programs for micro-companies must consider the volume of information that entrepreneurs need to address regularly, avoiding entropy in communication with small organizations.

Keywords

  • Image curation
  • Design project
  • Visual literacy
  • Visual diagnostic
  • Agri-food

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Acknowledgments

This article would not be possible without the collaboration of the REINOVA project partners, the IDDNET-(Leiria, Portugal). The RETHINK – CIAUD – FA/UL and the class from the Production New Media and Consumption course, first year, first semester, Master’s in Graphic Design Degree conferred by the University of Lisbon, Faculty of Architecture and the School of Applied Arts, Castelo Branco Polytechnic Institute, Portugal.

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Correspondence to Jose Silva .

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Silva, J., Raposo, D., Neves, J., Ribeiro, R., Marto, I., Silva, F. (2020). Innovation in Traditional Productive Sectors - Visual Curation in Design. In: Rebelo, F., Soares, M. (eds) Advances in Ergonomics in Design. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1203. Springer, Cham. https://doi.org/10.1007/978-3-030-51038-1_11

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  • DOI: https://doi.org/10.1007/978-3-030-51038-1_11

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