The Cognitive Gap in Driver Monitoring – Why “Eyes on Road” Isn’t Enough

ICUSA26 The Cognitive Gap in Driver Monitoring- Why “Eyes on Road” Isn’t Enough Vered Levy-Ron CorrActions

As camera-based DMS reaches maturity, attention is shifting to what it still can’t see. In this interview, we explore with Vered Levy-Ron, CEO of CorrActions, the limitations of gaze-based systems, the challenge of validating cognitive-state detection, and why integrating driver readiness into L2+ and L3 systems requires a fundamental rethink of how engineers define safety.

Let’s Talk Physical Buttons: Why I Love These Kia K4 Climate Control Switches

Lets Talk Physical Buttons ICUSA26 Blog Image

As vehicle interiors become increasingly touchscreen-focused, the role of well-designed physical controls is becoming a growing topic of discussion across the automotive industry. In this article, Michael A. Nees, Professor and Director of the Human factors, perception, and cognition at Lafayette College explores why the climate control switches in his Kia K4 stand out as an example of intuitive, driver-focused design, and what they reveal about the importance of ergonomics and tactile interaction in modern vehicle cabins.

AI in In-Cabin Systems: Real-Time Safety at the Edge

ICUSA26 AI in In-Cabin Systems: Real-Time Safety at the Edge

As in-cabin systems evolve from passive monitoring tools to active safety and decision-making layers, AI is fundamentally reshaping how vehicles interpret occupant state, behaviour, and intent. No longer limited to detecting isolated signals, modern systems are beginning to contextualise what is happening inside the vehicle in real time- enabling faster, more intelligent responses to critical scenarios. Drawing on over a decade of experience across safety-critical automotive systems, Vamsi Krishna Konka explores how AI is driving this shift, alongside the technical and ethical challenges that come with deploying real-time, privacy-conscious intelligence at the edge.

Why Context Matters More Than Detection in Driver Monitoring

Why Context Matters More Than Detection in Driver Monitoring

Most driver monitoring systems are built on rule-based logic and fixed thresholds.

These approaches are straightforward to implement and validate, but they struggle to capture the variability of real-world driving. The same behaviour can represent very different levels of risk depending on vehicle dynamics, road environment, and task load.

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