Vassili Rivron, Mohammad Irfan Khan, Simon Charneau, Isabelle Chrisment
{"title":"Refining smartphone usage analysis by combining crowdsensing and survey","authors":"Vassili Rivron, Mohammad Irfan Khan, Simon Charneau, Isabelle Chrisment","doi":"10.1109/PERCOMW.2015.7134065","DOIUrl":null,"url":null,"abstract":"Crowdsensing has been used quite regularly in recent years to study smartphone usage. However context information associated with smartphone usage is mostly of the type geo-localisation, user mobility, temporal behavior etc. Furthermore most studies are not sufficiently user-centric i.e. don't consider the perception or cognitive aspects of the user. In this paper we collect data about social context and user perception via in-app and on-line questionnaires and show that when these are combined with crowdsensed data can help improve both sensing and survey and can be applied to interesting cases.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2015.7134065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Crowdsensing has been used quite regularly in recent years to study smartphone usage. However context information associated with smartphone usage is mostly of the type geo-localisation, user mobility, temporal behavior etc. Furthermore most studies are not sufficiently user-centric i.e. don't consider the perception or cognitive aspects of the user. In this paper we collect data about social context and user perception via in-app and on-line questionnaires and show that when these are combined with crowdsensed data can help improve both sensing and survey and can be applied to interesting cases.