The Impact of User Demographics and Task Types on Cross-App Mobile Search

09/14/2021
by   Mohammad Aliannejadi, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/06/2018

Target Apps Selection: Towards a Unified Search Framework for Mobile Devices

With the recent growth of conversational systems and intelligent assista...
research
09/29/2022

TruEyes: Utilizing Microtasks in Mobile Apps for Crowdsourced Labeling of Machine Learning Datasets

The growing use of supervised machine learning in research and industry ...
research
12/17/2018

Understanding Mobile Search Task Relevance and User Behaviour in Context

Improvements in mobile technologies have led to a dramatic change in how...
research
04/04/2019

Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal

Activity tracking apps often make use of goals as one of their core moti...
research
09/13/2021

BERT for Target Apps Selection: Analyzing the Diversity and Performance of BERT in Unified Mobile Search

A unified mobile search framework aims to identify the mobile apps that ...
research
04/14/2019

RelEmb: A relevance-based application embedding for Mobile App retrieval and categorization

Information Retrieval Systems have revolutionized the organization and e...
research
11/27/2019

DeviceWatch: Identifying Compromised Mobile Devices through Network Traffic Analysis and Graph Inference

In this paper, we propose to identify compromised mobile devices from a ...

Please sign up or login with your details

Forgot password? Click here to reset