Quantification of cultural identity through artificial intelligence: a case study on the Waorani Amazonian ethnicity

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Title: Quantification of cultural identity through artificial intelligence: a case study on the Waorani Amazonian ethnicity
Authors: Espín-León, Aldrin | Jimeno-Morenilla, Antonio | Pertegal-Felices, María Luisa | Azorin-Lopez, Jorge
Research Group/s: UniCAD: Grupo de investigación en CAD/CAM/CAE de la Universidad de Alicante | Habilidades, Competencias e Instrucción | Investigación en Inteligencias, Competencia Social y Educación (SOCEDU) | Arquitecturas Inteligentes Aplicadas (AIA)
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación | Universidad de Alicante. Departamento de Psicología Evolutiva y Didáctica
Keywords: Cultural identity measurement | Preservation of ethnic identity | Amazonian | Waorani community | Artificial intelligence
Knowledge Area: Arquitectura y Tecnología de Computadores | Didáctica y Organización Escolar
Issue Date: Aug-2020
Publisher: Springer Nature
Citation: Soft Computing. 2020, 24: 11045-11057. doi:10.1007/s00500-019-04469-3
Abstract: The first step toward a Smart Village is that the community itself can benefit from the novel techniques that are applied. Some communities are far from being able to use the benefits that these technologies usually offer; however, they can benefit from the techniques that have led to the development of smart cities. This is the case of the indigenous people belonging to communities in the Amazon: They have seen their identity drastically eroded in recent decades as a result of the process of Western acculturation. In this context, the use of artificial intelligence techniques may contribute to the detection and quantification of cultural identity loss by identifying the most and least affected identity components of this process. This research work presents a quantitative method, which evaluates several variables of the cultural identity of an Ecuadorian Amazonian indigenous community: the Waorani. The proposed method automatically classifies the individuals and provides a subspace of it able to identify the weights of the subcomponents of this instrument in regard to its contribution to the Waorani identity. The systematic application of the instrument together with the artificial intelligence-based approach can provide decision makers with valuable information about which aspects of their identity are most sensitive to change and thus help design development policies that minimally interfere with their ethnic identity.
URI: http://hdl.handle.net/10045/107943
ISSN: 1432-7643 (Print) | 1433-7479 (Online)
DOI: 10.1007/s00500-019-04469-3
Language: eng
Type: info:eu-repo/semantics/article
Rights: © Springer-Verlag GmbH Germany, part of Springer Nature 2019
Peer Review: si
Publisher version: https://doi.org/10.1007/s00500-019-04469-3
Appears in Collections:INV - Habilidades, Competencias e Instrucción - Artículos de Revistas
INV - UNICAD - Artículos de Revistas
INV - AIA - Artículos de Revistas
INV - SOCEDU - Artículos de Revistas

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