Who's Who with Big-Five: Analyzing and Classifying Personality Traits with Smartphones
| Type of publication: | Conference paper |
| Citation: | Chittaranjan_ISWC11_2011 |
| Publication status: | Published |
| Booktitle: | International Symposium on Wearable Computing |
| Year: | 2011 |
| Month: | June |
| Pages: | 8 |
| Abstract: | In this paper, we investigate the relationship between behavioral characteristics derived from rich smartphone data and self-reported personality traits. Our data stems from smartphones of a set of 83 individuals collected over a continuous period of 8 months. From the analysis, we show that aggregated features obtained from smartphone usage data can be indicators of the Big-Five personality traits. Additionally, we develop an automatic method to infer the personality type of a user based on cellphone usage using supervised learning. We show that our method performs significantly above chance and up to 75.9% accuracy. To our knowledge, this constitutes the first study on the analysis and classification of personality traits using smartphone data. |
| Keywords: | |
| Projects: |
Idiap SONVB NOKIA |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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