title: Predicting Smartphone Operating System from Personality and Individual Differences.
abstract: Android and iPhone devices account for over 90 percent of all smartphones sold worldwide. Despite being very similar in functionality, current discourse and marketing campaigns suggest that key individual differences exist between users of these two devices; however, this has never been investigated empirically. This is surprising, as smartphones continue to gain momentum across a variety of research disciplines. In this article, we consider if individual differences exist between these two distinct groups. In comparison to Android users, we found that iPhone owners are more likely to be female, younger, and increasingly concerned about their smartphone being viewed as a status object. Key differences in personality were also observed with iPhone users displaying lower levels of Honesty-Humility and higher levels of emotionality. Following this analysis, we were also able to build and test a model that predicted smartphone ownership at above chance level based on these individual differences. In line with extended self-theory, the type of smartphone owned provides some valuable information about its owner. These findings have implications for the increasing use of smartphones within research particularly for those working within Computational Social Science and PsychoInformatics, where data are typically collected from devices and applications running a single smartphone operating system.
authors.affiliation: 1 School of Psychology, University of Lincoln , Lincoln, United Kingdom .
authors.forename: Heather
authors.initials: H
authors.lastname: Shaw
authors.affiliation: 2 Department of Psychology, Lancaster University , Lancaster, United Kingdom .
authors.forename: David A
authors.initials: DA
authors.lastname: Ellis
authors.affiliation: 1 School of Psychology, University of Lincoln , Lincoln, United Kingdom .
authors.forename: Libby-Rae
authors.initials: LR
authors.lastname: Kendrick
authors.affiliation: 1 School of Psychology, University of Lincoln , Lincoln, United Kingdom .
authors.forename: Fenja
authors.initials: F
authors.lastname: Ziegler
authors.affiliation: 3 School of Psychology, University of Hertfordshire , Hertfordshire, United Kingdom .
authors.forename: Richard
authors.initials: R
authors.lastname: Wiseman
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D003258:Consumer Behavior; D005260:Female; D006801:Humans; D007206:Individuality; D008297:Male; D008875:Middle Aged; D012737:Sex Factors; D000068997:Smartphone / Q000706:statistics & numerical data*; D012933:Social Identification; D011795:Surveys and Questionnaires; D055815:Young Adult
keywords: brands; extended self; personality; smartphones