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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.
Jan Souman (TNO – Dutch Organisation for Applied Scientific Research):
AWARE2ALL: Safety solutions for the introduction of HAVs in traffic
Guglielmo Papagni (Austrian Institute of Technology):
PANACEA: Monitoring and assessment of driving ability
Javier Alonso Ruiz (University of Alcala):
HEIDI: Predicting road users’ intentions
Benedikt Gollan (Somareality GmbH)
Monitoring cognitive states from eye tracking
Marko Gluhak (University of Ljubljana):
Assessing fitness to drive
Jan Souman (TNO – Dutch Organisation for Applied Scientific Research):
DCAS: implementation and implication
Guglielmo Papagni (Austrian Institute of Technology):
Communicating driving impairments to other road users
Isabella Hinterleitner, Diana Silvestru (TechMeetsLegal):
Mind the gap! Defining key features for a multi-modal, sustainable, gender-sensitive journey
Marcus Hennecke (Infineon Technologies Austria AG)
Cockpit of the Future
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