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[ Bachelors (1st level) classification icon ]

This chapter explores the specificities of Human–Machine Interaction (HMI) in the context of autonomous vehicles (AVs). It examines how HMI in autonomous vehicles differs fundamentally from traditional car dashboards. With the human driver no longer actively involved in operating the vehicle, the challenge arises: how should AI-driven systems communicate effectively with passengers, pedestrians, and other r…</description>
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        <description>Language of Driving Concepts

The Language of Driving (LoD) describes the implicit and explicit signals that allow autonomous vehicles and humans to understand each other in mixed traffic [1–3].

Semantics and Pragmatics of Driving

Driving behavior can be analyzed as a layered communication system:</description>
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[ Bachelors (1st level) classification icon ]



While the previous section described the foundations and goals of HMI, this section focuses on how autonomous vehicles communicate with various stakeholders and through which modes.  
These interactions can be categorized by user type, purpose, and proximity.</description>
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[ Masters (2nd level) classification icon ]



The integration of autonomous vehicles (AVs) into everyday traffic introduces both technological and societal challenges. While automated driving systems aim to eliminate human error and improve efficiency, the perceived safety and acceptance of these systems remain crucial for their widespread adoption. Ensuring that people *trust* the technology is equally important as ensuring that the technology *functions …</description>
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[ Masters (2nd level) classification icon ]



7.5 Verification and Validation of HMI

Verification and Validation (V&amp;V) of Human–Machine Interfaces (HMI) in autonomous vehicles ensure that communication between humans and intelligent systems is safe, intuitive, and consistent.  
While functional safety standards focus on the correct operation of sensors and control logic, HMI validation extends this to</description>
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