Proposed Approaches for Intelligent Classification of Mobile Apps for Smart Phones

This paper examines mobile applications classification models and the methods applied within the field of mobile human-computer interaction. Recent smartphone interfaces demonstrated the existence of usability problems with respect to the mobile apps in terms of accessing these apps after being downloaded by the user. This paper suggests three different approaches for intelligent classification of smartphone downloaded application and provides a proposal to carry out an empirical study to explore the effect of these approaches on the usability of smartphone interfaces in terms of efficiency, effectiveness and user satisfaction. The first suggested approach automatically classifies the installed mobiles apps in folders based on specific key words related to these apps. The second approach provides intelligent classification based on the frequency of use of the downloaded apps. However, the third approach organizes the downloaded apps according to the most recently use. It is believed that this study proposes opportunities for future approaches in mobile HCI and to enhance applications classification that fit with the user needs.