Assessing Personality Through Objective Behavioral Sensing

Wang, H. and Marsella, S. (2018) Assessing Personality Through Objective Behavioral Sensing. In: Seventh International Conference on Affective Computing and Intelligent Interaction (ACII 2017), San Antonio, TX, USA, 23-26 Oct 2017, pp. 131-137. ISBN 9781538605639 (doi: 10.1109/ACII.2017.8273590)

Full text not currently available from Enlighten.


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 (91.2%), Agreeableness (67.6%), Conscientiousness (70.6%), Neuroticism (79.4%), Openness(73.5%). Our results suggest that behavioral measures extracted from smartphone sensing data has potential in the assessment of personality.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Marsella, Professor Stacy
Authors: Wang, H., and Marsella, S.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience

University Staff: Request a correction | Enlighten Editors: Update this record