Paolo Pretto

Fluid automated driving experience

Key Learnings

  • Adopt an holistic approach to conceive automotive interface design guidelines
  • Define and analyze use cases of automated driving scenarios
  • Predict and model user needs
  • Contextualize user needs in mixed traffic environments
  • Translating concepts into embedded systems


As driving automation is changing the relationship between drivers and surroundings, current interface design struggles to provide timely and relevant information tailored for future driver’s needs. A new holistic approach is needed to connect drivers, vehicles, and infrastructures and account for non-driving activities in the vehicle.

Fluid is the expression of such an approach that aims at improving drivers’ safety, comfort and acceptance of automation technology. Like a fluid, it surrounds the driver and continuously adapts to his psycho-physical state. It as a multi-sensory, omni-present and omni-directional system that constantly senses the driver and surroundings. It features a “Driver digital twin”, i.e. a model-based representation of driver’s state over time, in relation with the vehicle and environment conditions. The updates in the model enable the generation and selection of proper sensory modalities, timing and locations to initiate a natural interaction with the driver.

This system can also enhance the information available to passengers to, e.g., alleviate motion sickness symptoms. Overall, Fluid is meant to increase situational awareness; minimize obtrusiveness of traditional visual and auditory interfaces; and preserve driver’s cognitive spare capacity for a prompt and smooth transition of control and comfortable and safe experience.

The Fluid concept enables three unique functions:
  • sustained monitoring of drivers, vehicles and environment,
  • including V2V and V2X communications; control management,
  • including transitions of control (take over and hand back) across different levels of automation;
  • tutoring of native manual drivers towards increasing automation levels

Date: Wednesday, October 16th
Time: 11:15 - 12:00
Location: Hall 10


Paolo Pretto

Principal Researcher - Human Factors & Driving Simulator, Virtual Vehicle Research Center

Experienced Project Lead with a demonstrated history of working in the research industry.


Experimental Design, Human-Computer Interaction, Research, Psychology, and Scientific Writing

Strong program and project management professional with a Ph.D. focused on Neural and Behavioural Sciences / Perception and Psychophysics from International Max Planck Research School.

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