Modelos causales como ayuda a la comprensión de sistemas complejos: Análisis de los factores críticos de éxito en el desarrollo de chatbots

Miguel Ángel Quiroz Martínez; Joseline  Mora Mora; Julissa  Medina Gruezo; Maikel Yelandi Leyva Vázquez

Modelos causales como ayuda a la comprensión de sistemas complejos: Análisis de los factores críticos de éxito en el desarrollo de chatbots

Translated title of the contribution: Causal models as an aid to understanding complex systems: Analysis of critical success factors in the development of chatbots

Miguel Ángel Quiroz Martínez, Joseline Mora Mora, Julissa Medina Gruezo, Maikel Yelandi Leyva Vázquez

Artificial Intelligence and Facial Recognition Research Group (GIIAR)

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

We analyzed the factors that are considered key when developing chatbots, making the implementation effective and efficient; that is, that it achieves the objective for which it is created. The analysis was carried out using research techniques such as interviews with experts in chatbots development. The deductive method was used to analyse the information of the referenced articles. With the help of causal models and fuzzy cognitive maps it was possible to deduce and know how the factors affect each of the proposed scenarios.

Translated title of the contribution	Causal models as an aid to understanding complex systems: Analysis of critical success factors in the development of chatbots
Original language	Spanish
Pages (from-to)	64-72
Number of pages	9
Journal	Universidad y Sociedad
Volume	12
Issue number	4
State	Published - 2020

Bibliographical note

Publisher Copyright:
© 2020, University of Cienfuegos, Carlos Rafael Rodriguez. All rights reserved.

Cite this

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abstract = "We analyzed the factors that are considered key when developing chatbots, making the implementation effective and efficient; that is, that it achieves the objective for which it is created. The analysis was carried out using research techniques such as interviews with experts in chatbots development. The deductive method was used to analyse the information of the referenced articles. With the help of causal models and fuzzy cognitive maps it was possible to deduce and know how the factors affect each of the proposed scenarios.",

keywords = "Causality, Chatbots, Covid-19, Critical success factors, Fuzzy cognitive maps",

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T2 - Análisis de los factores críticos de éxito en el desarrollo de chatbots

AU - Quiroz Martínez, Miguel Ángel

AU - Mora Mora, Joseline

AU - Medina Gruezo, Julissa

AU - Leyva Vázquez, Maikel Yelandi

PY - 2020

Y1 - 2020

N2 - We analyzed the factors that are considered key when developing chatbots, making the implementation effective and efficient; that is, that it achieves the objective for which it is created. The analysis was carried out using research techniques such as interviews with experts in chatbots development. The deductive method was used to analyse the information of the referenced articles. With the help of causal models and fuzzy cognitive maps it was possible to deduce and know how the factors affect each of the proposed scenarios.

AB - We analyzed the factors that are considered key when developing chatbots, making the implementation effective and efficient; that is, that it achieves the objective for which it is created. The analysis was carried out using research techniques such as interviews with experts in chatbots development. The deductive method was used to analyse the information of the referenced articles. With the help of causal models and fuzzy cognitive maps it was possible to deduce and know how the factors affect each of the proposed scenarios.

KW - Causality

KW - Chatbots

KW - Covid-19

KW - Critical success factors

KW - Fuzzy cognitive maps

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ER -

Modelos causales como ayuda a la comprensión de sistemas complejos: Análisis de los factores críticos de éxito en el desarrollo de chatbots

Abstract

Bibliographical note

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