TY - JOUR
T1 - SmartSenior
T2 - Automatic Content Personalization Through Semi-supervised Learning
AU - Lim, Heuiseok
AU - Hooshyar, Danial
AU - Ji, Hyesung
AU - Lee, Seolhwa
AU - Jo, Jaechoon
N1 - Funding Information:
Acknowledgements This work was supported by Ministry of Culture, Sport and Tourism (MCST) and Korea Creative Content Agency (KOCCA) in the Culture Technology (CT) Research & Development Program 2018 (No. R2016030031).
Publisher Copyright:
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2019/3/30
Y1 - 2019/3/30
N2 - The adaption of user interface (UI) promises to greatly enhance user experience (UX). This is more evident when we focus on elderly people. However, to date there has yet to be any intelligent, domain independent UI/UX system that caters to such elderly users. In this paper we seek to address this gap, and put forward an intelligent UI/UX system, called SmartSenior, that makes use of semi-supervised learning to execute automatic adaptations that would help elderly users by taking into account both their behavioral data and cognitive responses. SmartSenior initially assesses a user’s cognitive capacity and produces a first profile by way of a clustering and classification algorithm. It subsequently produces a personalized UI/UX by altering the profile according to the data on the user’s actions. We assess the efficacy of our system by way of an assessment in which elderly users employed the SmartSenior for 8 weeks. This experiment produced results that were, on the whole, satisfactory.
AB - The adaption of user interface (UI) promises to greatly enhance user experience (UX). This is more evident when we focus on elderly people. However, to date there has yet to be any intelligent, domain independent UI/UX system that caters to such elderly users. In this paper we seek to address this gap, and put forward an intelligent UI/UX system, called SmartSenior, that makes use of semi-supervised learning to execute automatic adaptations that would help elderly users by taking into account both their behavioral data and cognitive responses. SmartSenior initially assesses a user’s cognitive capacity and produces a first profile by way of a clustering and classification algorithm. It subsequently produces a personalized UI/UX by altering the profile according to the data on the user’s actions. We assess the efficacy of our system by way of an assessment in which elderly users employed the SmartSenior for 8 weeks. This experiment produced results that were, on the whole, satisfactory.
KW - Human computer interaction
KW - Intelligent UI/UX
KW - Semi-supervised learning
KW - User experience (UX)
KW - User interface (UI)
UR - http://www.scopus.com/inward/record.url?scp=85053749123&partnerID=8YFLogxK
U2 - 10.1007/s11277-018-5947-3
DO - 10.1007/s11277-018-5947-3
M3 - Article
AN - SCOPUS:85053749123
SN - 0929-6212
VL - 105
SP - 461
EP - 473
JO - Wireless Personal Communications
JF - Wireless Personal Communications
IS - 2
ER -