At the Tokyo Auto Show, Toyota will be sharing the design for its concept LQ car, which is not just autonomous but powered by artificial intelligence to support highly personalized driving experiences. According to Toyota, the LQ "leverages advanced technology to build an emotional bond between car and driver."
The LQ represents the next generation of the Toyota Concept-i vehicle, which was first seen at the 2017 Consumer Electronics Show. Yui is the AI-powered agent within the vehicle that boasts the ability to learn a driver's unique mobility needs to serve them better—for instance, Yui might choose music to play based off of a driver's preferences and help to awaken or relax a driver as needed.
Key Themes Behind This Trend
- AI-powered Concept Cars
- The use of artificial intelligence in vehicles is creating a more personalized and emotional driving experience for consumers, presenting opportunities for innovation in the automotive industry.
- Autonomous Driving Expands to Emotional Domain
- Incorporating emotional intelligence into autonomous vehicles opens up new possibilities for personalization and a deeper connection between driver and car, creating opportunities for disruption in the autonomous driving industry.
- Learning-based Mobility Services
- The integration of machine learning algorithms in cars presents new opportunities for mobility services that can learn and adapt to individual user needs, such as music selection or driving routines.
Where This Applies
- Automotive
- The use of artificial intelligence in cars is creating more personalized and emotional driving experiences, leading to a shift in consumer demand towards autonomous and intelligent vehicles in the automotive industry.
- Artificial Intelligence
- As AI technology advances, the integration of artificial intelligence in cars is paving the way for new and innovative applications in various industries, such as healthcare, education, and entertainment.
- Mobility Services
- The integration of machine learning algorithms in cars opens up new possibilities for mobility services that can learn and adapt to individual user needs, such as personalized music selection, in the mobility services industry.
