Associate Professor Shlomo Berkovsky receives Best Paper Award at CHI 2019
Detecting personality traits using eye-tracking data
New Artificial Intelligence can predict personality
A/Prof Shlomo Berkovsky and a team including members from Data61-CSIRO, the University of Sydney and the University of Wisconsin-Madison won Best Paper at CHI 2019 – the international ACM Conference on Human Factors in Computing Systems held in Glasgow, UK (May 4-9, 2019).
The team proposed a framework for objective personality detection that leverages humans’ physiological responses to external stimuli. Using video images, eye-tracking software and machine learning methods the team achieved a high accuracy rate of predicting personality traits against three well-validated personality models.
The results suggest that there may be applications for using their personality trait framework as an alternative form of assessment or to assist in human-computer interactions.
A/Prof Berkovsky leads the Precision Health Team at the Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University.
Read the full paper.
Read the Lighthouse article.