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SmartSenior: Automatic Content Personalization Through Semi-supervised Learning

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Abstract

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.

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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).

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea

    Heuiseok Lim, Danial Hooshyar, Hyesung Ji, Seolhwa Lee & Jaechoon Jo

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  1. Heuiseok Lim
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  2. Danial Hooshyar
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  3. Hyesung Ji
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  5. Jaechoon Jo
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Correspondence to Heuiseok Lim.

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Lim, H., Hooshyar, D., Ji, H. et al. SmartSenior: Automatic Content Personalization Through Semi-supervised Learning. Wireless Pers Commun 105, 461–473 (2019). https://doi.org/10.1007/s11277-018-5947-3

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