Title :
Classification of User Interactive Interfaces with K-modes
Author :
Albores, Luz Angelina ; Lopez, Maximo
Author_Institution :
Centro Nac. de Investig. y Desarrollo Tecnol., Cuernavaca, Mexico
fDate :
7/1/2015 12:00:00 AM
Abstract :
This paper proposes the use of the K-modes algorithm to classify according to its characteristics, user´s interfaces in order to provide to the developer a recommendation system where elements such as interaction devices, kinds of users, standards, and other factors are described according to their application domain. Twelve specific cases are considered which are characterized using FODA. Also, the SPSS statistical analysis software is used to validate that the resulting classification is well grouped.
Keywords :
interactive systems; pattern classification; recommender systems; statistical analysis; user interfaces; FODA; K-modes algorithm; SPSS statistical analysis software; application domain; interaction devices; recommendation system; user interactive interfaces classification; Biology; Classification algorithms; Manganese; Software; Standards; Statistical analysis; User interfaces; K-modes; classification; user interface; user interface recommendation system;
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
DOI :
10.1109/TLA.2015.7273792