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Fluid is a powerful metaphor that describes interaction concepts of next-gen human-machine interfaces that:
based on monitored data from user, vehicle and road conditions
reduced learning efforts
avoiding cluttered communications
supporting multi-sensory interaction
running in the background, but prompt on demand
Safety First
What KPI can measure the effectiveness of fluid interaction?
Standardization vs. Customization
Is there a conflict? How can fluid interaction concept enable both?
One-fits-all standard solutions vs. customized solutions
Fluid interaction concept as key enabler?
Dangerous HMIs
Have we gone too far? Is fluid the necessary step back in the transition from tech-centered to user-centric interface design?
Sustained interactions among road users
Are we there yet?
Do you have further questions? Doubts? Criticisms?
Please, let us know and we will be happy to bring them to our experts!
We will involve participants in the discussions throughout the whole event,
and together we will produce the answers!
support driver's roles across automation levels
allow information to flow and adapt to user’s needs
on AD/ADAS is context-sensitive, step-by-step, personalized
of internal and external HMI provides shared understanding of road situations by all stakeholders
and joint action recommendation are the key to efficiency, comfort and safety
Initially, the features of fluid interaction are implemented and evaluated in internal HMI to fulfill driver’s needs and roles in automated vehicles.
Then, a fluid and collaborative architecture effectively gathers and synchronizes driver’s data and data from other road users to enable optimal joint action by all stakeholders via external HMI. In this way, all road users have the same understanding of the situation and cooperate for safe interactions between vehicles and e.g., pedestrians.
Fluid internal and external interfaces coordinate information and joint-action recommendations addressing all user categories, while adapting to their respective states and conditions like, e.g., distracted drivers and older pedestrians, to optimize efficiency, comfort and safety.
Peter Rössger is a professional keynote speaker in automotive trends and megatrends, technology, society, humans, and machines.
This includes automotive human-machine interfaces, user experience, usability, and human factors.
Until early 2015 Peter was Business Development Director at TES Electronic Solutions GmbH. During his 12 years with Harman Automotive, he created HMI concepts for automotive OEMs like Mercedes, Porsche, Toyota, Hyundai, PSA, Ferrari, Chrysler, and Harley Davidson.
Peter holds a doctoral degree in Human Factors Engineering from the Technical University of Berlin.
Paul Schouten is a UX Designer/Design Leader at TomTom, educated at the Technical University of Delft, with a background in product & automotive design. Over the course of his career he developed a passion for mobility & innovative tech.
At TomTom he leads the UX Concepts team, which is constantly looking into the future to understand future user needs & experiences.
His aim is to develop intuitive & natural user experiences that make technology integrate into the lives of humans, so that they become invisible while at the same time enriching people’s lives.
Meng Lu is Vice President of Standards Activities at IEEE Intelligent Transportation Systems Society.
She works as an independent consultant in R&D and Innovation projects. Previously she is the Strategic Innovation Manager at the Dutch Institute of Advanced Logisitcs (NL) and Visiting Professor at the National Laboratory for Automotive Safety and Energy, Tsinghua University (CN).
Since 2005 she has been actively involved in R&D and innovation projects .
She received her doctorate from Lund University (SE) and a Master’s degree and engineering degree in NL and CN.
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