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

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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.

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Authors and Affiliations

  1. Faculty of Sociology and Social Work, Central University of Ecuador, Quito, Ecuador

    Aldrin Espín-León

  2. Department of Computer Technology, University of Alicante, Alicante, Spain

    Antonio Jimeno-Morenilla & Jorge Azorín-López

  3. Developmental and Educational Psychology Department, University of Alicante, Alicante, Spain

    María Luisa Pertegal-Felices

Authors
  1. Aldrin Espín-León
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  2. Antonio Jimeno-Morenilla
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  3. María Luisa Pertegal-Felices
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  4. Jorge Azorín-López
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Corresponding author

Correspondence to María Luisa Pertegal-Felices.

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All authors declare that they have no conflict of interest.

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All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study.

Additional information

Communicated by Miltiadis D. Lytras.

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Espín-León, A., Jimeno-Morenilla, A., Pertegal-Felices, M.L. et al. Quantification of cultural identity through artificial intelligence: a case study on the Waorani Amazonian ethnicity. Soft Comput 24, 11045–11057 (2020). https://doi.org/10.1007/s00500-019-04469-3

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