“Assessing Personality through Objective Behavioral Sensing” by Sophie Wang and Stacy C. Marsella. In 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII), Oct. 2017.
Traditional personality assessment techniques often rely on subjective report obtained from questionnaires. This work complements traditional techniques by exploring objective measures of traits at the behavior level. We explored behavior features extracted from smartphone sensing data, and used selected features to predict the traits of the Five Factor Model. The specific dataset we explored was the StudentLife dataset. We found behavior features corresponding to each trait, and were able to predict the traits with varying degrees of accuracy. The best result of each trait are: Extraversion, Agreeableness, Conscientiousness, Neuroticism, Openness. Our results suggest that behavioral measures extracted from smartphone sensing data has potential in the assessment of personality.
BibTeX entry:
@inproceedings{wang2017personality,
author = {Sophie Wang and Stacy C. Marsella},
title = {Assessing Personality through Objective Behavioral Sensing},
booktitle = { 2017 Seventh International Conference on Affective
Computing and Intelligent Interaction (ACII)},
publisher = {IEEE},
month = oct,
year = {2017},
url =
{https://stacymarsella.org/publications/pdf/wang2017personality.pdf}
}
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