Conference Proceeding

An Investigation of Measuring Driver Anger with Electromyography

  • Christopher Saikalis (George Mason University)
  • John Cliburn (George Mason University)
  • Cedric Portea (George Mason University)
  • Yi-Ching Lee (George Mason University)


This research explores a novel approach to measuring driver anger using facial electromyography (EMG) while completing a navigation task on a driving simulator. Participants’ anger was induced by traffic events that were frustrating in nature as well as time pressure while having to follow navigational directions. Participants’ feeling of anger was assessed multiple times via subjective self-reports while being continuously monitored through a facial EMG. Participants’ trait driving anger was assessed using the Driving Anger Scale. Results showed that, compared to baseline measures, participants had significantly higher facial EMG activation values and subjective feelings of anger upon experiencing frustrating events, suggesting facial EMG as a reliable physiological measurement for inferring drivers’ feelings of anger. This experimental protocol can be used to assess anger in navigational contexts in future studies.

How to Cite:

Saikalis, C. & Cliburn, J. & Portea, C. & Lee, Y., (2019) “An Investigation of Measuring Driver Anger with Electromyography”, Driving Assessment Conference 10(2019), 126-132. doi:

Rights: Copyright © 2019 the author(s)

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Published on
25 Jun 2019
Peer Reviewed