Name
Abstract | ||
|---|---|---|
In this paper we present an exploratory smartphone usage study with logs collected from users in the wild, combined with the sociodemographic, technological and cultural information provided by them. We observe a high diversity among users' most used applications, but by classifying applications into services we find significant correlations between service usage and socio-demographic profile. We discuss that sociological information has rich potential in characterizing smartphone usage and can be applied to interesting incentive strategies and use cases based on users' sociological context. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/BDCloud-SocialCom-SustainCom.2016.49 | 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom) |
Keywords | Field | DocType |
smartphone application usage log,declared sociological information,smartphone usage study,socio-demographic information,technological information,cultural information,user diversity,service usage,socio-demographic profile | Service usage,World Wide Web,Internet privacy,Use case,Incentive,Crowdsensing,Computer science,Server,Cultural diversity,The Internet | Conference |
ISBN | Citations | PageRank |
978-1-5090-3937-1 | 0 | 0.34 |
References | Authors | |
21 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vassili Rivron | 1 | 1 | 0.72 |
| Mohammad Irfan Khan | 2 | 1 | 0.72 |
| Simon Charneau | 3 | 0 | 0.34 |
| Isabelle Chrisment | 4 | 225 | 25.75 |