SmartSenior: Automatic Content Personalization Through Semi-supervised Learning
| Autor: | Seolhwa Lee, Hyesung Ji, Danial Hooshyar, Heuiseok Lim, Jaechoon Jo |
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| Rok vydání: | 2018 |
| Předmět: |
Focus (computing)
Computer science business.industry 020206 networking & telecommunications 02 engineering and technology Semi-supervised learning Computer Science Applications Personalization Domain (software engineering) User experience design Human–computer interaction 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Electrical and Electronic Engineering User interface business Cluster analysis Cognitive load |
| Zdroj: | Wireless Personal Communications. 105:461-473 |
| ISSN: | 1572-834X 0929-6212 |
| DOI: | 10.1007/s11277-018-5947-3 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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