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What installed mobile applications tell about their owners and how they affect users' download behavior
Date
2017-11-01
Author
ÜNAL, Perin
Taşkaya Temizel, Tuğba
Eren, Pekin Erhan
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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The rapid growth in the mobile application market presents a significant challenge to find interesting and relevant applications for users. An experimental study was conducted through the use of a specifically designed mobile application, on users' mobile phones. The goals were; first, to learn about the users' personality and the applications they downloaded to their mobile phones, second to recommend applications to users via notifications through the use of experimental mobile application and learn about user behavior in mobile environment. The question of how the personality features of users affect their compliance to recommendations is explored in this study. It is found that conscientiousness is positively related with accepting recommended applications and being agreeable is related with the preference for the applications of editor's choice. Furthermore, in this study, applications owned by the user and the composition of applications under categories and their relation with personality features are explored. It is shown that the number of user owned applications and their category differ according to gender and personality. Having similar applications and the number of applications owned under specific categories increase the probability of accepting recommended applications.
Subject Keywords
Mobile phone use
,
Mobile application use
,
User profiling
,
Mobile application recommendation
,
Recommender systems
,
Phone Use
,
Personality
,
Smartphone
,
Internet
URI
https://hdl.handle.net/11511/30907
Journal
TELEMATICS AND INFORMATICS
DOI
https://doi.org/10.1016/j.tele.2017.05.005
Collections
Graduate School of Informatics, Article
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BibTeX
P. ÜNAL, T. Taşkaya Temizel, and P. E. Eren, “What installed mobile applications tell about their owners and how they affect users’ download behavior,”
TELEMATICS AND INFORMATICS
, pp. 1153–1165, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30907.