Skip to main content

Affectiva and Nuance to develop humanised automotive assistant

US company Affectiva plans to develop a joint automotive assistant which detects driver distraction and drowsiness and voices recommendations such as navigating to a coffee shop. The solution is intended to align its dialogue to a motorist’s emotional state based on facial and verbal expressions. The integrated solution will combine the Affectiva Automotive AI solution with UK-based Nuance Communications’ Dragon Drive platform. Affectiva Automotive AI measures facial expressions and emotions such as anger
September 7, 2018 Read time: 2 mins

US company Affectiva plans to develop a joint automotive assistant which detects driver distraction and drowsiness and voices recommendations such as navigating to a coffee shop. The solution is intended to align its dialogue to a motorist’s emotional state based on facial and verbal expressions.

The integrated solution will combine the Affectiva Automotive AI solution with UK-based Nuance Communications’ Dragon Drive platform.

Affectiva Automotive AI measures facial expressions and emotions such as anger and surprise as well as verbal expressions in real-time. It also displays icons which indicate drowsiness such as yawning, eye closure and blink rates and physical or mental distraction.

Through the partnership, Dragon Drive will enable the in-car assistant to interact with passengers via emotion and cognitive state detection. It currently facilitates this correspondence through gesture, touch, gaze detection, voice recognition powered by natural language understanding.

Stefan Ortmanns, executive vice president and general manager, Nuance Automotive, says these additional modes of interaction will help its OEM partners develop automotive assistants which can ensure the safety and efficiency of connected and autonomous cars.

In the future, the automotive assistant may also be able to take control of semi-autonomous vehicles if the driver displays signs of physical or mental distraction.

Related Content

  • Smartphone solution for parking performance
    March 31, 2017
    Automated parking offers optimised space utilisation and fewer damage complaints as David Crawford discovers. As cars become smarter, technology designed to make parking them more straightforward is developing in parallel. In turn, it is becoming clear that the places where vehicles spend much of their time will need to respond – more comprehensively than by supporting established aids such as smartphone-based parking location and reservation, or payment for time used.
  • Adopting universal technology platforms for tolling
    July 16, 2012
    Dave Marples of Technolution argues that the continuing development of tolling-specific onboard equipment is leading us up a blind alley. We should, he says, be looking to realise universal platforms with universal application. The near-future automobile contains information systems of a sophistication to rival a jet airliner of only a few years ago, yet is 'piloted' by a considerably less well-trained individual of highly variable mental and physical capacity, and operated in a hostile, unpredictable and p
  • Audi Urban Intelligent Assist research programme launched
    May 21, 2012
    A new research initiative launched by Audi, its electronics research laboratory in Silicon Valley and four top US universities aims to develop technologies focused on easing the congestion, dangers and inconveniences that often confront drivers in the world's biggest cities. The new three-year Audi Urban Intelligent Assist research initiative aims to take connected car, driver assistance and infrastructure electronics to the next level of providing detailed information so motorists have a better sense of th
  • Development of cooperative driving applications for work zones
    July 17, 2012
    The German AKTIV project is researching several cooperative driving applications for use in work zones. PTV's Michael Ortgiese details progress. The steep increases in traffic volumes predicted back in the early 1990s have unfortunately been proven to be more than accurate. In Germany, the AKTIV project continues to look into cooperative technologies' potential to reduce the impact of those increased traffic volumes and keep traffic moving despite limitations in infrastructure capacity.