SmartSenior: Automatic Content Personalization Through Semi-supervised Learning

Heui Seok Lim, Danial Hooshyar, Hyesung Ji, Seolhwa Lee, Jaechoon Jo

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.

Original languageEnglish
JournalWireless Personal Communications
DOIs
Publication statusAccepted/In press - 2018 Jan 1

Keywords

  • Human computer interaction
  • Intelligent UI/UX
  • Semi-supervised learning
  • User experience (UX)
  • User interface (UI)

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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