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

Mohammad Aliannejadi, Fabio Crestani, Theo W.C. Huibers, Monica Landoni, Emiliana Murgia, Maria Soledad Pera

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

3 Citations (Scopus)
46 Downloads (Pure)

Abstract

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.
Original languageEnglish
Title of host publicationFlexible Query Answering Systems
Subtitle of host publication14th International Conference, FQAS 2021, Bratislava, Slovakia, September 19-24, 2021, Proceedings
EditorsTroels Andreasen, Guy De Tré, Janusz Kacprzyk, Henrik Legind Larsen, Gloria Bordogna, Slawomir ZadroZny
Place of PublicationCham
PublisherSpringer
Pages223-234
Number of pages12
ISBN (Electronic)978-3-030-86967-0
ISBN (Print)978-3-030-86966-3
DOIs
Publication statusPublished - Sept 2021

Publication series

NameLecture Notes in Artificial Intelligence
PublisherSpringer
Volume12871
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • mobile search
  • user evaluation
  • 22/1 OA procedure
  • n/a OA procedure

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