With the continuous improvement of automotive intelligence, human-machine interface (HMI), as an important link between people and vehicles, is rapidly developing in a more natural and intelligent direction. In this paper, we will discuss the trend, technology and application of intelligent car HMI to natural interaction.

The development trend of natural interaction

The traditional automotive HMI mainly relies on physical buttons and touch screen, the operation is complex and easy to distract the driver's attention. The application of natural interaction technology allows drivers to interact with the vehicle in a more intuitive way through voice, gestures, eye tracking, etc., which greatly improves the convenience and safety of operation. The main natural interaction technologies include: 

  1. voice interaction: through natural language processing technology, the driver can control the vehicle functions in a spoken way.

  2. gesture recognition: using natural language processing technology, the driver can control the vehicle functions in a spoken way.

  3. Gesture Recognition: Using cameras and depth sensors to capture the driver's gestures to achieve contactless control.

  4. eye tracking: by tracking the driver's line of sight, determine the state of his attention, and carry out the corresponding operation.

  5. Emotion recognition: analysing the driver's expression and tone of voice to understand his emotional state and provide personalised services.

According to a research report, the use of natural interaction HMI vehicles can reduce the driver's distraction time by about 40%, significantly improving driving safety.

Technical realisation of natural interaction HMI

To achieve natural and smooth human-computer interaction, a variety of technologies are needed.

  1. Speech recognition and natural language processing: accurately identify the driver's voice commands and understand their semantics. 

  2. computer vision: capturing the driver's gestures, expressions and other visual information through the camera.

  3. Sensor fusion: combining multiple sensor data to fully perceive the driver's state and in-vehicle environment.

  4. Artificial Intelligence Algorithm: Using machine learning technology to continuously optimise the interaction experience and provide personalised services.

  5. 3D display technology: presenting more intuitive information to the driver through three-dimensional display.

  6. Multi-modal fusion technology: integrating voice, gesture, vision and other interaction methods to provide a more natural interaction experience.

Application Scenarios of Natural Interaction HMI

Natural interaction HMI has a wide range of application prospects in intelligent vehicles.

  1. Driving assistance: control navigation and air conditioning by voice to reduce manual operation and improve safety.

  2. infotainment: use voice to control navigation and air conditioning.

  3. infotainment: using gestures and voice to control music playback, telephone and other functions to enhance the entertainment experience.

  4. Vehicle control: Adjust seats, windows, etc. through voice commands to achieve convenient operation.

  5. safety monitoring: using eye tracking and emotion recognition technology to monitor driver fatigue and prevent accidents. 5. personalised service: according to the driver's needs, the driver can use his/her voice to control his/her car's music playback and phone calls.

personalised service: according to the driver's habits and emotional state, automatically adjust the car environment to provide caring service.

Natural interaction HMI design principles

In the design of natural interaction HMI, you need to follow the following principles: 

  1. Simple and intuitive: the interface design should be simple and clear, avoiding complex operations.

  2. Multi-modal fusion: combining voice, vision, touch and other interaction modes to provide flexible choices.

  3. Context-awareness: Intelligently adjust the interaction mode according to the driving scene and user habits.

  4. Timely feedback: Provide timely and clear feedback to the user's operation.

  5. Safety first: Ensure that the interaction will not distract the driver's attention and affect driving safety.

Industry Innovation Cases

A number of leading automotive manufacturers have made breakthroughs in the field of natural interaction HMI.

  1. Mercedes-Benz MBUX system: adopting advanced voice recognition technology, supporting natural language interaction and personalised customisation. 

  2. Tesla Voice Control: Through continuous optimisation of AI algorithms, Tesla Voice Control achieves comprehensive voice control of vehicle functions.

  3. BMW iDrive system: integrated gesture control function, allowing drivers to operate the infotainment system through simple gestures.

Challenges and Responses

The development of natural interaction HMI also faces a number of challenges:

  1. privacy protection: need to ensure that the collected driver data is properly protected. 2. system reliability.

  2. System reliability: the recognition accuracy and response speed of natural interactive systems need to be further improved.

  3. User Adaptability: Users of different ages and backgrounds may need time to adapt to new interaction methods.

  4. standardisation: the industry needs to develop unified HMI design standards to ensure a consistent user experience.

To address these challenges, the automotive industry is actively developing standards and regulations. For example, the ISO 15005:2017 standard specifies ergonomic principles for in-vehicle HMIs, aiming to ensure the safety and ease of use of interactive systems.

Future Outlook

With the advancement of artificial intelligence, 5G communication and other technologies, the natural interaction of smart car HMI will be more intelligent and humanised. Possible future development directions include: 

  1. Brain-computer interface: directly control the vehicle through brain waves, realising ‘idea operation’. 

  2. holographic projection: using holographic technology to display virtual information on the windscreen.

  3. context-awareness: using holographic technology to display virtual information on the windscreen.

  4. context-awareness: according to the driving environment and the driver's state, to actively provide information and services.

  5. cross-device collaboration: realising seamless connection between in-vehicle systems, smartphones and wearable devices.

  6. Augmented Reality (AR): superimpose real-time navigation, road conditions and other information in the driver's field of view to provide an immersive driving experience.

In short, the development of smart car HMI to natural interaction will bring drivers a safer, more convenient and comfortable driving experience, and promote the automotive industry to a more intelligent direction. However, while pursuing technological innovation, we also need to pay attention to user privacy, system security and other issues to ensure the healthy development of natural interaction HMI.


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