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 IJIS  Vol.4 No.1 , January 2014
An Affective-Motivational Interface for a Pedagogical Agent
Abstract: This research is framed within the affective computing, which explains the importance of emotions in human cognition (decision making, perception, interaction and human intelligence). Applying this approach to a pedagogical agent is an essential part to enhance the effectiveness of the teaching-learning process of an intelligent learning system. This work focuses on the design of the inference engine that will give life to the interface, where the latter is represented by a pedagogical agent. The inference engine is based on an affective-motivational model. This model is implemented by using artificial intelligence technique called fuzzy cognitive maps.
Cite this paper: M. Mora-Torres, A. Laureano-Cruces, F. Gamboa-Rodríguez, J. Ramírez-Rodríguez and L. Sánchez-Guerrero, "An Affective-Motivational Interface for a Pedagogical Agent," International Journal of Intelligence Science, Vol. 4 No. 1, 2014, pp. 17-23. doi: 10.4236/ijis.2014.41003.
References

[1]   A. L. Laureano-Cruces, “Agentes Pedagógicos,” Memorias XVII Congreso Nacional y III Congreso Internacional de Informática y Computación de la ANIEI, Tepic, 20-22 October 2004.
http://ce.azc.uam.mx/profesores/clc/02_publicaciones/material/AgentesPedagogicos_ANIEI04.pdf

[2]   A. L. Laureano-Cruces, J. Ramírez-Rodríguez, F. de Arriaga and R. Escarela-Pérez, “Agents Control in Intelligent Learning Systems: The Case of Reactive Characteristics,” Interactive Learning Environments, Vol. 14, No. 2, 2006, pp. 95-118.
http://dx.doi.org/10.1080/10494820600769049

[3]   K. R. Scherer, “Psychological Models of Emotion,” In: J. C. Borod, Ed., The Neuropsychology of Emotion, Oxford University Press, New York, 2000, pp. 137-162.
http://emotion.caltech.edu/dropbox/bi133/files/Psychological.pdf

[4]   A. Ortony, G. Clore and A. Collins, “The Cognitive Structure of Emotions,” Cambridge University Press, Cambridge, 1988.
http://dx.doi.org/10.1017/CBO9780511571299

[5]   A. Laureano-Cruces, “Emociones Sintéticas y Avatars,” En el Libro: De la Reflexión a la Acción, Editado por la División de Ciencias y Artes para el Diseno, 2006, pp. 251-255.
http://ce.azc.uam.mx/profesores/clc/04_proyecto_de_inv/comp_suave/EmocionesSint.pdf

[6]   A. L. Laureano-Cruces, P. Velasco-Santos, M. MoraTorres and D. Acevedo-Moreno, “Hacia Interfaces Inteligentes,” Libro Científico: Avances de las Mujeres en las Ciencias, las Humanidades y Todas las Disciplinas, Sustentabilidad, Aire, 2009, pp. 237-246.

[7]   A. L. Laureano-Cruces and E. Hegmann-González, “Maze Videogame that Adapts to the User’s Emotions According to his Behavior,” ICGST-Artificial Intelligence Machine Learning Journal, Vol. 11, No. 2, 2011, pp. 21-25.
http://www.icgst.com/paper.aspx?pid=P1121102462

[8]   A. L. Laureano-Cruces and A. Rodríguez-García, “Design and Implementation of an Educational Virtual Pet Using the OCC Theory,” Journal of Ambient Intelligence and Humanized Computing, Vol. 3, No. 1, 2012, pp. 61-71.
http://dx.doi.org/10.1007/s12652-011-0089-4

[9]   A. L. Laureano-Cruces, D. Acevedo-Moreno, M. MoraTorres and J. Ramírez-Rodríguez, “A Reactive Behavior Agent: Including Emotions for a Video Game,” Journal of Applied Research and Technology, Vol. 10, No. 5, 2012, pp. 651-672.
http://www.redalyc.org/articulo.oa?id=47425122001

[10]   M. Mora-Torres, A. L. Laureano-Cruces and P. VelascoSantos, “Estructura de las Emociones dentro de un Proceso de Ensenanza-Aprendizaje,” Revista Perfiles Educativos-UNAM, Vol XXXIII, No. 131, 2011, pp. 64-79.
http://www.redalyc.org/articulo.oa?id=13218531005

[11]   M. S. Khan, A. Chong and M. Quaddus, “Fuzzy Cognitive Maps and Intelligent Decision Support—A Review,” School of Information Technology, Murdoch University, Graduate School of Business, Curtin University of Technology, 1987.
http://wawisr01.uwa.edu.au/1999/khanchongquaddus.pdf

[12]   A. L. Laureano-Cruces, M. Mora-Torres, J. Ramírez-Rodríguez and F. De Arriaga-Gómez, “Operative Strategies Related to an Affective-Motivational Architecture to Achieve Instructional Objectives,” ICGST-Artificial Intelligence Machine Learning Journal, Vol. 11, No. 2, 2011, pp. 15-20.
http://www.icgst.com/paper.aspx?pid=P1121139825

[13]   M. Mora-Torres, “Sistema Experto en la Toma de Decisiones de un Escenario de Riesgo: LOCA Pequeno en una Planta Nucleoeléctrica,” MSc. Degree Thesis, Posgrado en Ciencia e Ingeniería de la ComputaciónUniversidad Nacional Autónoma de México, 2007.
http://ce.azc.uam.mx/profesores/clc/02_publicaciones/tesis_dirigidas/MIC_Mora_Torres_Martha.pdf

[14]   M. Mora-Torres, A. L. Laureano-Cruces, J. Ramírez-Rodríguez and G. Espinosa-Paredes, “Analysis and Design of the Representation of the Knowledge for the Implementation of a Distributed Reasoning,” Revista de Matemática: Teoría y Aplicaciones, Vol. 16, No. 2, 2009, pp. 267-281.
http://www.latindex.ucr.ac.cr/mate-16-2/matematica-16-2-07.pdf

[15]   C. E. Peláez and J. B. Bowles, “Applying Fuzzy Cognitive Maps Knowledge-Representation to Failure Modes Effects Analysis,” IEEE Proceedings Annual Reliability and Maintainability Symposium, Washington DC, 16-19 January 1995, pp. 450-456.
http://dx.doi.org/10.1109/RAMS.1995.513283

[16]   B. Kosko, “Fuzzy Cognitive Maps,” International Journal of Man-Machine Studies, Vol. 24, No. 1, 1986, pp. 65-75.
http://dx.doi.org/10.1016/S0020-7373(86)80040-2

[17]   A. Konar and L. Jain, “Cognitive Engineering: A Distributed Approach to Machine Intelligence,” Springer Verlag, London, 2005.
http://dx.doi.org/10.1007/1-84628-234-9

[18]   A. L. Laureano-Cruces, J. Ramírez-Rodríguez, M. MoraTorres and G. Espinosa-Paredes, “Modeling a Decision Making Process in a Risk Scenario: LOCA in a Nucleoelectric Plant Using Fuzzy Cognitive Maps,” Research in Computing Science, Vol. 26, 2006, pp. 3-13.
http://www.micai.org/rcs/Vol26.pdf

[19]   M. Nunes, L. Dihl, L. Fraga, C. Woszezenki, L. Oliveira, D. Francisco, G. Machado, C. Nogueira and M. Notargiacomo, “Animated Pedagogical Agent in the Intelligent Virtual Teaching Environment,” Interactive Educational Multimedia, Vol. 4, 2002, pp. 53-61.
http://greav.ub.edu/der/index.php/der/article/download/46/134

[20]   P. Velasco-Santos, A. L. Laureano-Cruces, M. MoraTorres and L. Sánchez-Guerrero, “La Importancia del Diseno de una Interfaz en el Proceso de EnsenanzaAprendizaje,” Proceedings of XXI Congreso Nacional y VII Congreso Internacional de Informática y Computación de la ANIEI, Monterrey, 1-3 October 2008, pp. 108-113. http://ce.azc.uam.mx/profesores/clc/

[21]   P. Jacques and R. M. Vicari, “A BDI Approach to Infer Student’s Emotions in an Intelligent Learning Environment,” Computers & Education, Vol. 49, No. 2, 2007, pp. 360-384.
http://dx.doi.org/10.1016/j.compedu.2005.09.002

[22]   J. C. Lester and B. A. Stone, “Increasing Believability in Animated Pedagogical Agents,” Memories Autonomous Agents, Vol. 97, Marina del Rey, 1997, pp. 16-21.
http://dx.doi.org/10.1145/267658.269943

[23]   W. L. Johnson, E. Shawand R. Ganeshan, “Pedagogical Agents on the Web,” Proceedings of the 3rd International Conference on Autonomous Agents, New York, 1-5 May 1999, pp. 283-290.
http://dx.doi.org/10.1007/3-540-45490-X_4

[24]   A. L. Laureano-Cruces, J. Ramírez-Rodríguez, M. MoraTorres, F. De Arriaga and R. Escarela-Pérez, “CognitiveOperative Model of Intelligent Learning Systems Behavior,” Interactive Learning Environments, Vol. 18, No. 1, 2010, pp. 11-38.
http://dx.doi.org/10.1080/10494820802160872

[25]   P. Velasco-Santos, L. Sánchez-Guerrero, A. L. LaureanoCruces and M. Mora-Torres, “Un Diseno de Interfaz: Tomando en Cuenta los Estilos de Aprendizaje,” Memoria XXII Congreso Nacional y VIII Congreso Internacional de Informática y Computación de la ANIEI, Ensenada, Baja, 21-23 October 2009, pp. 311-320.
http://ce.azc.uam.mx/profesores/clc/02_publicaciones/material/InterfazYColor.pdf

 
 
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