Matching System for Animal-Assisted Therapy Based on the Levenshtein and Gale-Shapley Algorithms

Giuliana Gutiérrez-Rondón, Juan Gutiérrez-Cárdenas

Resultado de la investigación: Capítulo del libro/informe/acta de congresoArticulo (Contribución a conferencia)revisión exhaustiva


This current research is based on the implementation of an algorithm that assigns pets, cats, or dogs to persons with depressive disorders such as low self-esteem. We found that even though different institutions have made the assignments of pets to patients, we were not able to find one that uses an IT tool for this task. Because of this situation, we decided to adapt to the well-known Gale-Shapley algorithm that has been used successfully in different situations in which it needs a perfect match between two parties. The results obtained have been validated by experts in the field of animal and person psychology. Because the Gale-Shapley algorithm needs a preference array between the parts involved and due that an animal cannot establish this set of preferences, we aimed to use a string similarity-based algorithm for obtaining preferences arrays based on the behavioral traits of an animal or person.

Idioma originalInglés
Título de la publicación alojadaProceedings of the Future Technologies Conference, FTC 2020, Volume 3
EditoresKohei Arai, Supriya Kapoor, Rahul Bhatia
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas19
ISBN (versión impresa)9783030630911
EstadoPublicada - 2021
EventoFuture Technologies Conference, FTC 2020 - San Francisco, Estados Unidos
Duración: 5 nov 20206 nov 2020

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365


ConferenciaFuture Technologies Conference, FTC 2020
País/TerritorioEstados Unidos
CiudadSan Francisco


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