Personality Is Revealed During Weekends: Towards Data Minimisation for Smartphone Based Personality Classification - Human-Computer Interaction Access content directly
Conference Papers Year : 2019

Personality Is Revealed During Weekends: Towards Data Minimisation for Smartphone Based Personality Classification

Mohammed Khwaja
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  • PersonId : 1068700
Aleksandar Matic
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  • PersonId : 1068701

Abstract

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. 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% and 71% for classifying the five personality traits. These results provide lessons for practicing “data minimisation” – a key principle of privacy laws.
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hal-02553930 , version 1 (24-04-2020)

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Mohammed Khwaja, Aleksandar Matic. Personality Is Revealed During Weekends: Towards Data Minimisation for Smartphone Based Personality Classification. 17th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2019, Paphos, Cyprus. pp.551-560, ⟨10.1007/978-3-030-29387-1_32⟩. ⟨hal-02553930⟩
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