  Recent developments in the mobile app industry have resulted in various types
of mobile apps, each targeting a different need and a specific audience.
Consequently, users access distinct apps to complete their information need
tasks. This leads to the use of various apps not only separately, but also
collaboratively in the same session to achieve a single goal. Recent work has
argued the need for a unified mobile search system that would act as metasearch
on users' mobile devices. The system would identify the target apps for the
user's query, submit the query to the apps, and present the results to the user
in a unified way. In this work, we aim to deepen our understanding of user
behavior while accessing information on their mobile phones by conducting an
extensive analysis of various aspects related to the search process. In
particular, we study the effect of task type and user demographics on their
behavior in interacting with mobile apps. Our findings reveal trends and
patterns that can inform the design of a more effective mobile information
access environment.
