SmartSenior: Automatic Content Personalization Through Semi-supervised Learning

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

Research output: Contribution to journalArticle

2 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

Fingerprint

Supervised learning
User interfaces
Experiments

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

Cite this

SmartSenior : Automatic Content Personalization Through Semi-supervised Learning. / Lim, Heui Seok; Hooshyar, Danial; Ji, Hyesung; Lee, Seolhwa; Jo, Jaechoon.

In: Wireless Personal Communications, 01.01.2018.

Research output: Contribution to journalArticle

@article{8e6ecd03699c4105bbff8f06392232f9,
title = "SmartSenior: Automatic Content Personalization Through Semi-supervised Learning",
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.",
keywords = "Human computer interaction, Intelligent UI/UX, Semi-supervised learning, User experience (UX), User interface (UI)",
author = "Lim, {Heui Seok} and Danial Hooshyar and Hyesung Ji and Seolhwa Lee and Jaechoon Jo",
year = "2018",
month = "1",
day = "1",
doi = "10.1007/s11277-018-5947-3",
language = "English",
journal = "Wireless Personal Communications",
issn = "0929-6212",
publisher = "Springer Netherlands",

}

TY - JOUR

T1 - SmartSenior

T2 - Automatic Content Personalization Through Semi-supervised Learning

AU - Lim, Heui Seok

AU - Hooshyar, Danial

AU - Ji, Hyesung

AU - Lee, Seolhwa

AU - Jo, Jaechoon

PY - 2018/1/1

Y1 - 2018/1/1

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

UR - http://www.scopus.com/inward/citedby.url?scp=85053749123&partnerID=8YFLogxK

U2 - 10.1007/s11277-018-5947-3

DO - 10.1007/s11277-018-5947-3

M3 - Article

AN - SCOPUS:85053749123

JO - Wireless Personal Communications

JF - Wireless Personal Communications

SN - 0929-6212

ER -