Cedillo Orellana, Irene PriscilaBermeo Arpi, Alexandra Elizabeth2019-02-062019-02-062018978-153862644-3978-153862644-3http://dspace.ucuenca.edu.ec/handle/123456789/31935https://www.scopus.com/record/display.uri?eid=2-s2.0-85050957952&doi=10.1109%2fINCISCOS.2017.34&origin=inward&txGid=f290301c4abaf6c9fd1683fda8bc8df7Intelligent User Interfaces (IUI) facilitate human-machine interaction, through which the user makes use of a general system in a more efficient way. These interfaces are helpful for different types of users, specifically for people with disabilities, seniors, among others. These interfaces belong to a type of intelligent systems that are capable of self-adapt to users with different health problems, this is possible through the determination of behavior characteristics that distinguishes each user from another. In this paper, a systematic mapping of the Intelligent User Interfaces is presented, which allow developers to determine which applications are adopting those interfaces with emphasis on Ambient Assisted Living (AAL) technologies. The Kitchenham's methodology has been applied in order to perform this secondary study, after the execution of the review, a total of 43 primary studies was selected and classified, thus allowing us to obtain the results presented in this contribution. © 2017 IEEE.Intelligent User Interfaces (IUI) facilitate human-machine interaction, through which the user makes use of a general system in a more efficient way. These interfaces are helpful for different types of users, specifically for people with disabilities, seniors, among others. These interfaces belong to a type of intelligent systems that are capable of self-adapt to users with different health problems, this is possible through the determination of behavior characteristics that distinguishes each user from another. In this paper, a systematic mapping of the Intelligent User Interfaces is presented, which allow developers to determine which applications are adopting those interfaces with emphasis on Ambient Assisted Living (AAL) technologies. The Kitchenham's methodology has been applied in order to perform this secondary study, after the execution of the review, a total of 43 primary studies was selected and classified, thus allowing us to obtain the results presented in this contribution. © 2017 IEEE.es-ESAdaptive User InterfaceAmbient Assisted LivingHuman-Computer InteractionIntelligent User InterfaceSystematic MappingARTÍCULO DE CONFERENCIA10.1109/INCISCOS.2017.34