A service-oriented user interaction analysis framework supporting adaptive applications

Show simple item record

dc.contributor.author Hashemi, Mohammad
dc.contributor.author Herbert, John
dc.date.accessioned 2016-11-18T09:16:22Z
dc.date.available 2016-11-18T09:16:22Z
dc.date.issued 2016-08-25
dc.identifier.citation Hashemi, M. and Herbert, J. (2016) ‘A service-oriented user interaction analysis framework supporting adaptive applications,’ IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), Atlanta, GA, 10-14 June. United States: IEEE, pp. 546-551. doi: 10.1109/COMPSAC.2016.36 en
dc.identifier.startpage 546 en
dc.identifier.endpage 551 en
dc.identifier.isbn 978-1-4673-8845-0
dc.identifier.issn 0730-3157
dc.identifier.uri http://hdl.handle.net/10468/3287
dc.identifier.doi 10.1109/COMPSAC.2016.36
dc.description.abstract A comprehensive user model, built by monitoring a user's current use of applications, can be an excellent starting point for building adaptive user-centred applications. The BaranC framework monitors all user interaction with a digital device (e.g. smartphone), and also collects all available context data (such as from sensors in the digital device itself, in a smart watch, or in smart appliances) in order to build a full model of user application behaviour. The model built from the collected data, called the UDI (User Digital Imprint), is further augmented by analysis services, for example, a service to produce activity profiles from smartphone sensor data. The enhanced UDI model can then be the basis for building an appropriate adaptive application that is user-centred as it is based on an individual user model. As BaranC supports continuous user monitoring, an application can be dynamically adaptive in real-time to the current context (e.g. time, location or activity). Furthermore, since BaranC is continuously augmenting the user model with more monitored data, over time the user model changes, and the adaptive application can adapt gradually over time to changing user behaviour patterns. BaranC has been implemented as a service-oriented framework where the collection of data for the UDI and all sharing of the UDI data are kept strictly under the user's control. In addition, being service-oriented allows (with the user's permission) its monitoring and analysis services to be easily used by 3rd parties in order to provide 3rd party adaptive assistant services. An example 3rd party service demonstrator, built on top of BaranC, proactively assists a user by dynamic predication, based on the current context, what apps and contacts the user is likely to need. BaranC introduces an innovative user-controlled unified service model of monitoring and use of personal digital activity data in order to provide adaptive user-centred applications. This aims to improve on the current situation where the diversity of adaptive applications results in a proliferation of applications monitoring and using personal data, resulting in a lack of clarity, a dispersal of data, and a diminution of user control. en
dc.description.sponsorship Higher Education Authority (Telecommunications Graduate Initiative Program) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en
dc.relation.ispartof IEEE 40th Annual Computer Software and Applications Conference (COMPSAC 2016)
dc.relation.uri https://www.computer.org/web/compsac2016
dc.rights © 2016, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en
dc.subject Adaptation models en
dc.subject Context en
dc.subject Data models en
dc.subject Monitoring en
dc.subject Buildings en
dc.subject Context modeling en
dc.subject Sensor en
dc.title A service-oriented user interaction analysis framework supporting adaptive applications en
dc.type Conference item en
dc.internal.authorcontactother John Herbert, Computer Science, University College Cork, Cork, Ireland. T: +353-21-490-3000 E: j.herbert@cs.ucc.ie en
dc.internal.availability Full text available en
dc.description.version Accepted Version en
dc.contributor.funder Higher Education Authority en
dc.contributor.funder European Regional Development Fund en
dc.description.status Peer reviewed en
dc.internal.IRISemailaddress j.herbert@cs.ucc.ie

Files in this item

This item appears in the following Collection(s)

Show simple item record

This website uses cookies. By using this website, you consent to the use of cookies in accordance with the UCC Privacy and Cookies Statement. For more information about cookies and how you can disable them, visit our Privacy and Cookies statement