Understanding the impact of personality traits on mobile app adoption - Insights from a large-scale field study

被引:117
|
作者
Xu, Runhua [1 ]
Frey, Remo Manuel [1 ]
Fleisch, Elgar [1 ,2 ]
Ilic, Alexander [2 ]
机构
[1] Swiss Fed Inst Technol, Dept Management Technol & Econ, Weinbergstr 56-58, CH-8092 Zurich, Switzerland
[2] Univ StGallen, Inst Technol Management, Dufourstr 40a, CH-9000 St Gallen, Switzerland
关键词
Mobile app adoption; Adoption theory; Personality traits; Personality prediction; Machine learning; INFORMATION-TECHNOLOGY; PLANNED-BEHAVIOR; 5-FACTOR MODEL; INNOVATION DIFFUSION; USER ACCEPTANCE; RESPONSE RATES; INTERNET USE; FACEBOOK; ATTRIBUTES; USAGE;
D O I
10.1016/j.chb.2016.04.011
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
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 twofold. 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. (c) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:244 / 256
页数:13
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