Title: Adapting mobile user interfaces based on users' application usage behaviours

Authors: Hajer Dammak; Meriem Riahi; Faouzi Moussa

Addresses: LIPAH Lab-LR11ES14, FST, University of Tunis El Manar, Tunis, Tunisia ' LIPAH Lab-LR11ES14, ENSIT, University of Tunis, Tunis, Tunisia ' LCOMS Lab, University of Lorraine, Metz, France

Abstract: Understanding how users use smartphones can improve their quality of life and user experience and aid in the development of better smartphones. Manufacturers and researchers assume mobile users behave similarly. However, different interests or activities lead to diverse application usage behaviours. Additionally, mobile interfaces are static and do not self-adapt to the user's app usage. To this end, it is important to divide users into groups based on how they use mobile applications and then adapt the interfaces accordingly. This paper presents a two-phased UI adaptation approach. The first phase trains the model and identifies user clusters, while the second adapts the user interface. Two adaptations are offered. Primary adaptation is applied automatically once the user's cluster is identified, while advanced adaptation requires user approval. Our research could improve the overall smartphone experience by making it easier to create, develop, and adapt mobile interfaces for both individuals and groups of users.

Keywords: adaptation; user interface; mobile application; usage behaviour; clustering; user groups.

DOI: 10.1504/IJAHUC.2023.133453

International Journal of Ad Hoc and Ubiquitous Computing, 2023 Vol.44 No.1, pp.48 - 66

Received: 05 Dec 2022
Accepted: 01 Mar 2023
Published online: 15 Sep 2023 *

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