| KEYWORD |
Improving mobile app switching through suggestions
keywords ANDROID, HUMAN-COMPUTER INTERACTION, SOFTWARE
Reference persons FULVIO CORNO, LUIGI DE RUSSIS
External reference persons Alberto Monge Roffarello
Research Groups DAUIN - GR-10 - Intelligent and Interactive Systems - e-LITE
Thesis type EXPERIMENTAL, RESEARCH
Description Despite a lot of work analyzed mobile device usage, app switching is still an overlooked interaction, which can be improved in contemporary smartphones.
The goal of this thesis is to design, develop, and evaluate an Android app (in the form of an interactive widget) able to suggest which app(s) the user is going to open next. This suggestion could start from contextual information (e.g., the time or the location), from habitual smartphone usage, from interaction with notifications, or from the Android's share sheet, to make some example. The thesis will have the possibility to build upon previous work from the research group, e.g., http://hdl.handle.net/11583/2867117. The evaluation of the developed app will focus on the efficacy of the adopted approaches in the recommendation process and on their presentation.
The outcomes of the work, if satisfying and appropriate, will be made freely available as an open source project.
Required skills Basi di programmazione Android, in Java. Conoscenze su sistemi di raccomandazione sono un plus.
Deadline 10/10/2021
PROPONI LA TUA CANDIDATURA