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Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/31935
Title: a systematic mapping study for intelligent user interfaces-iui
Authors: Cedillo Orellana, Irene Priscila
Bermeo Arpi, Alexandra Elizabeth
metadata.dc.ucuenca.correspondencia: Cedillo Orellana, Irene Priscila, priscila.cedillo@ucuenca.edu.ec
Bermeo Arpi, Alexandra Elizabeth, Alexandra.bermeo@ucuenca.edu.ec
Keywords: Adaptive User Interface
Ambient Assisted Living
Human-Computer Interaction
Intelligent User Interface
Systematic Mapping
Issue Date: 2018
metadata.dc.ucuenca.embargoend: 31-Dec-2050
metadata.dc.ucuenca.volumen: Volume 2017-Novembe
metadata.dc.source: Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
metadata.dc.identifier.doi: 10.1109/INCISCOS.2017.34
Publisher: Institute of Electrical and Electronics Engineers Inc.
metadata.dc.description.city: 
Quito
metadata.dc.type: ARTÍCULO DE CONFERENCIA
Abstract: 
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.
Description: 
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.
URI: http://dspace.ucuenca.edu.ec/handle/123456789/31935
https://www.scopus.com/record/display.uri?eid=2-s2.0-85050957952&doi=10.1109%2fINCISCOS.2017.34&origin=inward&txGid=f290301c4abaf6c9fd1683fda8bc8df7
metadata.dc.ucuenca.urifuente: https://ieeexplore.ieee.org/document/8328132
ISBN: 978-153862644-3
ISSN: 978-153862644-3
Appears in Collections:Artículos

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