iLauncher: An intelligent launcher for mobile apps based on individual usage patterns

Li Yu Tang, Pi Cheng Hsiu, Jiun-Long Huang, Ming Syan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

The next-generation smartphones should provide a signification improvement in terms of personalization. A major challenge in smartphone personalization is how to tackle the diversity in smartphone usage. This paper presents iLauncher, an intelligent quick launch that can adapt to individual usage patterns on the fly to change apps dynamically without user intervention. The rationale behind the development process is that we collected traces of real user activity and conducted statistical analysis to derive some observations that provide useful insights into the design of our algorithm. The results of experiments conducted to evaluate the proposed algorithm are encouraging in terms of prediction accuracy. We have implemented iLauncher based on the algorithm and released it in an Android marketplace for free usage.

Original languageEnglish
Title of host publication28th Annual ACM Symposium on Applied Computing, SAC 2013
Pages505-512
Number of pages8
DOIs
StatePublished - 27 May 2013
Event28th Annual ACM Symposium on Applied Computing, SAC 2013 - Coimbra, Portugal
Duration: 18 Mar 201322 Mar 2013

Publication series

NameProceedings of the ACM Symposium on Applied Computing

Conference

Conference28th Annual ACM Symposium on Applied Computing, SAC 2013
CountryPortugal
CityCoimbra
Period18/03/1322/03/13

Keywords

  • Individual usage patterns
  • Mobile apps
  • Smartphone personalization
  • User behavior understanding

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