Communications of the ACM
Invention Uses Machine-Learned Human Emotions to 'Drive' Autonomous Vehicles
A researcher from Florida Atlantic Universitys College of Engineering and Computer Science has developed new technology for autonomous systems that is responsive to human emotions based on machine-learned human moods.
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Florida Atlantic University (FAU)'s Mehrdad Nojoumian has designed and patented new technology for autonomous systems that uses machine-learned human moods to respond to human emotions.
Nojoumian's adaptive mood control system employs non-intrusive sensory solutions in semi- or fully autonomous vehicles to read the mood of drivers and passengers.
In-vehicle sensors collect data based on facial expressions and other emotional cues of the vehicle's occupants, then use real-time machine learning mechanisms to identify occupants' moods over time.
The vehicle responds to perceived emotions by selecting a suitable driving mode (normal, cautious, or alert).
FAU's Stella Batalama said Nojoumian's system overcomes self-driving vehicles' inability to accurately forecast the behavior of other self-driving and human-driven vehicles.
From Florida Atlantic University
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