Understanding the Impact of Personality Traits on Mobile App Adoption – Insights from a Large-Scale Field Study
Journal
Computers in Human Behavior
ISSN
0747-5632
ISSN-Digital
1873-7692
Type
journal article
Date Issued
2016-09
Author(s)
Research Team
Auto-ID Lab
Abstract
The sheer amount of available apps allows users to customize smartphones to match their personality and interests. As one of the first large-scale studies, the impact of personality traits on mobile app adoption was examined through an empirical study involving 2043 Android users. A mobile app was developed to assess each smartphone user’s personality traits based on a state-of-the-art Big Five questionnaire and to collect information about her installed apps. The contributions of this work are two-fold. First, it confirms that personality traits have significant impact on the adoption of different types of mobile apps. Second, a
machine-learning model is developed to automatically determine a user's personality based on her installed apps. The predictive model is implemented in a prototype app and shows a 65% higher precision than a random guess. Additionally, the model can be deployed in a non-intrusive, low privacy-concern, and highly scalable manner as part of any mobile app.
machine-learning model is developed to automatically determine a user's personality based on her installed apps. The predictive model is implemented in a prototype app and shows a 65% higher precision than a random guess. Additionally, the model can be deployed in a non-intrusive, low privacy-concern, and highly scalable manner as part of any mobile app.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Refereed
Yes
Publisher
Elsevier
Publisher place
Amsterdam [u.a.]
Volume
62
Start page
244
End page
256
Pages
13
Subject(s)
Division(s)
Eprints ID
248879
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Understanding the Impact of Personality Traits on Mobile App Adoption_Xu_Frey_Fleisch_Ilic_2016.pdf
Size
1.5 MB
Format
Adobe PDF
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