Personality is Revealed During Weekends: Towards Data Minimisation for Smartphone Based Personality Classification
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Previous literature has explored automatic personality modelling using smartphone data for its potential to personalise mobile services. Although passive modelling of personality removes the burden of completing lengthy questionnaires, the fact that such models typically require a few weeks or months of personal data can negatively impact user's engagement. delay until delivering personalised services as well as due to privacy concerns related to collecting a large amount of personal data. In this study, we explore the feasibility of reducing the duration of data collection in the context of personality classification. We found that only one or two weekends can suffice for achieving state-of-the-art accuracy between 66 classifying the five personality traits. These results provide lessons for practicing "data minimisation" - a key principle of privacy laws.
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