[ Computación afectiva y análisis del comportamiento del consumidor ]
Volume 20, Issue 2, May 2017, Pages 551–559
Gary Reyes Zambrano1 and Joffre Mateo Banchón2
1 Facultad de Ciencias Matemáticas y Físicas, Universidad de Guayaquil, Guayaquil, Ecuador
2 Facultad de Ciencias Administrativas, Universidad de Guayaquil, Guayaquil, Ecuador
Original language: Spanish
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Affective computing and consumer behavior have evolved to give way to sentiment analysis either invasively or interactively. There are some tools that facilitate affective computing such as CRM and recommender systems. These are studied to analyze their objectives, applications and performance, without neglecting the evolutionary process that have suffered through the years. Also relevant is the direct impact of affective computing companies that use it, and the process that this implies. Its application to predict and give consumers new products is a reality in today's market, increasing company profits and enabling approach to the consumers never has seen before.
Author Keywords: Affective computing, Consumer behavior, Recommender systems, Social CRM, Emotions.
Volume 20, Issue 2, May 2017, Pages 551–559
Gary Reyes Zambrano1 and Joffre Mateo Banchón2
1 Facultad de Ciencias Matemáticas y Físicas, Universidad de Guayaquil, Guayaquil, Ecuador
2 Facultad de Ciencias Administrativas, Universidad de Guayaquil, Guayaquil, Ecuador
Original language: Spanish
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Affective computing and consumer behavior have evolved to give way to sentiment analysis either invasively or interactively. There are some tools that facilitate affective computing such as CRM and recommender systems. These are studied to analyze their objectives, applications and performance, without neglecting the evolutionary process that have suffered through the years. Also relevant is the direct impact of affective computing companies that use it, and the process that this implies. Its application to predict and give consumers new products is a reality in today's market, increasing company profits and enabling approach to the consumers never has seen before.
Author Keywords: Affective computing, Consumer behavior, Recommender systems, Social CRM, Emotions.
Abstract: (spanish)
La computación afectiva y comportamiento del consumidor han evolucionado para poder dar paso al análisis de sentimientos ya sea de forma invasiva o interactiva. Existen algunas herramientas que facilitan la computación afectiva como es el caso de los sistemas CRM y Recomendadores. Estos son estudiados para analizar sus objetivos, aplicaciones y funcionamiento, sin dejar de lado el proceso evolutivo que han sufrido a través de los años. También es relevante el impacto directo de la computación afectiva en las empresas que la utilizan, así como el proceso que esta implica. Su aplicación para predecir y dar nuevos productos a los consumidores es una realidad en el mercado actual, aumentando las ganancias de las compañías y posibilitando un acercamiento al consumidor nunca antes visto.
Author Keywords: Computación afectiva, Comportamiento del consumidor, Sistemas recomendadores, Social CRM, Emociones.
How to Cite this Article
Gary Reyes Zambrano and Joffre Mateo Banchón, “Affective computing and analysis of consumer behavior,” International Journal of Innovation and Applied Studies, vol. 20, no. 2, pp. 551–559, May 2017.
