Cultural Identity Distance Computation through Artificial Intelligence as an Analysis Tool of the Amazon Indigenous People. A Case Study in the Waorani Community
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http://hdl.handle.net/10045/111483
Títol: | Cultural Identity Distance Computation through Artificial Intelligence as an Analysis Tool of the Amazon Indigenous People. A Case Study in the Waorani Community |
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Autors: | Espín-León, Aldrin | Jimeno-Morenilla, Antonio | Pertegal-Felices, María Luisa | Azorin-Lopez, Jorge |
Grups d'investigació o GITE: | 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) |
Centre, Departament o Servei: | Universidad de Alicante. Departamento de Tecnología Informática y Computación | Universidad de Alicante. Departamento de Psicología Evolutiva y Didáctica |
Paraules clau: | Cultural identity | Indigenous identity | Amazon communities | Artificial intelligence | Cultural distance |
Àrees de coneixement: | Arquitectura y Tecnología de Computadores | Didáctica y Organización Escolar |
Data de publicació: | 15-de novembre-2020 |
Editor: | MDPI |
Citació bibliogràfica: | Espín-León AM, Jimeno-Morenilla A, Pertegal-Felices ML, Azorín-López J. Cultural Identity Distance Computation through Artificial Intelligence as an Analysis Tool of the Amazon Indigenous People. A Case Study in the Waorani Community. Sustainability. 2020; 12(22):9513. https://doi.org/10.3390/su12229513 |
Resum: | Cultural identity is a complex concept that includes subjective factors such as ideology, family knowledge, customs, language, and acquired skills, among others. Measuring culture involves a significant level of difficulty, since its study and scope differ from the point of view, the time and the place where the studies are carried out. In the Amazon, indigenous communities are in an accelerated process of acculturation that results in a loss of cultural identity that is not easy to quantify. This paper presents a method to measure the cultural distance between individuals or between groups of people using Artificial Intelligence techniques. The distance between individuals is calculated as the distance of the minimum path in the self-organizing map using Dijkstra’s algorithm. The experiments have been carried out to measure the cultural identity of indigenous people in the Waorani Amazon community and compares them with people living in cities who have a modern identity. The results showed that the communities are still distant in terms of identity from the westernised cities around them, although there are already factors where the distances are minimal concerning these cities. In any case, the method makes it possible to quantify the state of acculturation. This quantification can help the authorities to monitor these communities and take political decisions that will enable them to preserve their cultural identity. |
URI: | http://hdl.handle.net/10045/111483 |
ISSN: | 2071-1050 |
DOI: | 10.3390/su12229513 |
Idioma: | eng |
Tipus: | info:eu-repo/semantics/article |
Drets: | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
Revisió científica: | si |
Versió de l'editor: | https://doi.org/10.3390/su12229513 |
Apareix a la col·lecció: | INV - Habilidades, Competencias e Instrucción - Artículos de Revistas INV - SOCEDU - Artículos de Revistas INV - AIA - Artículos de Revistas INV - UNICAD - Artículos de Revistas |
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Espin-Leon_etal_2020_Sustainability.pdf | 5,28 MB | Adobe PDF | Obrir Vista prèvia | |
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