ADAS & Autonomous Vehicles Special Report - December 2024 - 2

Advancing HMI development of
ADAS and active safety systems
iMotions employs neuroscience and AI-powered analysis tools to enhance the
tracking, assessment and design of human-machine interfaces inside vehicles.
by Nam Nguyen
Truck developers - and drivers -
can benefit from human-factors
experts' efforts to design interfaces
that simplify information processing
and reduce cognitive load.
T
he advancement of vehicles with enhanced
safety and infotainment features has made
evaluating human-machine interfaces
(HMI) in modern commercial and industrial
vehicles crucial. Drivers face a steep learning curve
due to the complexities of these new technologies.
Additionally, the interaction with advanced driverassistance
systems (ADAS) increases concerns
about cognitive impact and driver distraction
in both passenger and commercial vehicles.
As vehicles incorporate more automation, many
clients are turning to biosensor technology to
monitor drivers' attention and the effects of various
systems and interfaces. Utilizing neuroscientific
principles and AI, data from eye-tracking, facial
expressions and heart rate are informing more
effective system and interface design strategies. This
approach ensures that automation advancements
improve rather than hinder the driving experience.
The integration of HMI systems in vehicle
design is evolving rapidly, focusing on enhancing
user-vehicle interactions. A deep understanding
of human-factors engineering is essential for
creating safe, efficient and user-friendly driving
experiences. Companies like iMotions and
SmartEye are using behavioral research and eyetracking
to pioneer new HMI design principles.
2 DECEMBER 2024
Nam Nguyen, technical partnership
manager and senior neuroscience
product specialist for iMotions.
" Truck companies
are increasingly
utilizing these
technologies to
incorporate humanin-the-loop
systems
that improve overall
driving safety. "
The role of neuroscience in
HMI design
Human factors are critical in
designing HMIs for transportation
systems, with designs needing to
accommodate the abilities and
limitations of human drivers. This
involves ergonomic design, cognitive
psychology and user experience (UX)
research to develop interfaces that
are user-friendly, safe and intuitive.
The aim is to create systems that
align with human behavior and
cognitive processes, reducing errors
and improving usability. Advances
in neuroscience have greatly
enhanced the tracking, assessment
and design of HMIs, moving
beyond traditional interview-based
methods to more sophisticated,
neuroscience-based techniques.
Modern approaches include
using camera-based eye trackers
like SmartEye Pro, AI-powered
facial expression analysis tools like
Affectiva's Affdex, and methods
like electrodermal response and
ADAS & AUTONOMOUS VEHICLES SPECIAL REPORT
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ADAS & Autonomous Vehicles Special Report - December 2024

Table of Contents for the Digital Edition of ADAS & Autonomous Vehicles Special Report - December 2024
