{"title":"A personalised lifestyle advisory system","authors":"Bo Hu, A. Naseer, Kenichi Fukuda","doi":"10.1109/HealthCom.2012.6379380","DOIUrl":null,"url":null,"abstract":"Thus far, lifestyle advisory system has become increasingly popular in both developing and developed countries. Among other essential features, personalisation is considered a defining factor that differentiates a system from apparently similar ones. Aiming to assist human health advisors and encourage individual's self-management, HOMEVMI supports personalisation through dynamic and context-aware decision making, deep analysis of user profile, and real-time interaction with the end users. While the initial market evaluation is promising, further improvement of the HOMEVMI prototypical system is forthcoming, based on feedback from market beneficiaries.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HealthCom.2012.6379380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Thus far, lifestyle advisory system has become increasingly popular in both developing and developed countries. Among other essential features, personalisation is considered a defining factor that differentiates a system from apparently similar ones. Aiming to assist human health advisors and encourage individual's self-management, HOMEVMI supports personalisation through dynamic and context-aware decision making, deep analysis of user profile, and real-time interaction with the end users. While the initial market evaluation is promising, further improvement of the HOMEVMI prototypical system is forthcoming, based on feedback from market beneficiaries.