Predicting smartphone operating system from personality and individual differences
Autor: | Richard Wiseman, David A. Ellis, Heather Shaw, Libby-Rae Kendrick, Fenja Ziegler |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Adult
Male Adolescent Social Psychology media_common.quotation_subject Internet privacy Individuality 050109 social psychology Young Adult Sex Factors Sex factors Emotionality Surveys and Questionnaires 0502 economics and business Humans Personality 0501 psychology and cognitive sciences Android (operating system) Applied Psychology Consumer behaviour Aged media_common Social Identification business.industry Communication 05 social sciences General Medicine Consumer Behavior Middle Aged Computer Science Applications Human-Computer Interaction Female 050211 marketing Smartphone Psychology business Social psychology |
DOI: | 10.1089/cyber.2016.0324 |
Popis: | 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. |
Databáze: | OpenAIRE |
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