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

## TL;DR

This study demonstrates that collecting smartphone data over just one or two weekends is sufficient to accurately classify personality traits, supporting data minimisation principles in privacy law.

## Contribution

It shows that short-term data collection can achieve state-of-the-art accuracy in personality classification, reducing user burden and enhancing privacy.

## Key findings

- One or two weekends of data suffice for 66-71% accuracy.
- Short-term data collection aligns with privacy data minimisation principles.
- Passive personality modelling can be effective with minimal data.

## 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.