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Apps with habits: Adaptive Interfaces for News Apps

Constantinides, M; (2015) Apps with habits: Adaptive Interfaces for News Apps. In: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems. (pp. pp. 191-194). ACM: New York, USA. Green open access

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Abstract

Reading the news on smartphones has become a significant activity for users. It is also a highly individual experience with marked differences in the way people read and access news. This work explores novel methods of "smart personalisation" of news apps. It is investigating smartphone users' news reading behaviour. It is developing a prototype news app able to recognise particular kinds of news reading behaviour and adapt its display and interaction methods, i.e. an app that forms "habits". A longitudinal evaluation of the deployed app is being conducted.

Type: Proceedings paper
Title: Apps with habits: Adaptive Interfaces for News Apps
Event: 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, April 18 - 23, 2015 , Seoul, Republic of Korea
Location: Seoul, Republic of Korea
ISBN-13: 978-1-4503-3146-3
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2702613.2702622
Publisher version: http://dx.doi.org/10.1145/2702613.2702622
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: News reading; News apps; Personalisation; Adaptive mobile user interfaces;
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1475068
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