Exploring mobile news reading interactions ...
Document type :
Communication dans un congrès avec actes
DOI :
Title :
Exploring mobile news reading interactions for news app personalisation
Author(s) :
Constantinides, Marios [Auteur]
University College of London [London] [UCL]
Dowell, John [Auteur]
University College of London [London] [UCL]
Johnson, David [Auteur]
University College of London [London] [UCL]
Malacria, Sylvain [Auteur]
Computing tools to empower users [MJOLNIR]
University College of London [London] [UCL]
Dowell, John [Auteur]
University College of London [London] [UCL]
Johnson, David [Auteur]
University College of London [London] [UCL]
Malacria, Sylvain [Auteur]

Computing tools to empower users [MJOLNIR]
Conference title :
17th International Conference on Human-Computer Interaction with Mobile Devices and Services
City :
Copenhagen
Country :
Danemark
Start date of the conference :
2015-08-24
Publication date :
2015-08-24
English keyword(s) :
Mobile news reading
Personalisation
Implicit sampling
Adaptive mobile User Interfaces
ACM Classification Keywords H5m Information interfaces and presentation (eg
HCI): Miscellaneous
Personalisation
Implicit sampling
Adaptive mobile User Interfaces
ACM Classification Keywords H5m Information interfaces and presentation (eg
HCI): Miscellaneous
HAL domain(s) :
Informatique [cs]/Interface homme-machine [cs.HC]
English abstract : [en]
As news is increasingly accessed on smartphones and tablets, the need for personalising news app interactions is apparent. We report a series of three studies addressing key issues in the development of adaptive news app ...
Show more >As news is increasingly accessed on smartphones and tablets, the need for personalising news app interactions is apparent. We report a series of three studies addressing key issues in the development of adaptive news app interfaces. We first surveyed users' news reading preferences and behaviours; analysis revealed three primary types of reader. We then implemented and deployed an Android news app that logs users' interactions with the app. We used the logs to train a classifier and showed that it is able to reliably recognise a user according to their reader type. Finally we evaluated alternative, adaptive user interfaces for each reader type. The evaluation demonstrates the differential benefit of the adaptation for different users of the news app and the feasibility of adaptive interfaces for news apps.Show less >
Show more >As news is increasingly accessed on smartphones and tablets, the need for personalising news app interactions is apparent. We report a series of three studies addressing key issues in the development of adaptive news app interfaces. We first surveyed users' news reading preferences and behaviours; analysis revealed three primary types of reader. We then implemented and deployed an Android news app that logs users' interactions with the app. We used the logs to train a classifier and showed that it is able to reliably recognise a user according to their reader type. Finally we evaluated alternative, adaptive user interfaces for each reader type. The evaluation demonstrates the differential benefit of the adaptation for different users of the news app and the feasibility of adaptive interfaces for news apps.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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Source :
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