The Digital Press

Autonomous vehicles (AVs) must tailor their communication to riders’ individual needs, goals, and contexts to gain trust and improve performance. This research shows that adaptable, personalized AV communication strategies are essential for safe and effective human-AV interaction.

Why it matters: Uniform AV communication fails to meet diverse rider needs, hindering trust, learning, and adoption in real-world settings.

The big picture: Understanding human-AV system dynamics enables development of context-sensitive, personalized communication for better joint action and situational awareness.

Stunning stat: Machine learning revealed key personal traits that predict trust in AVs, highlighting the impact of individual differences.

Quick takeaway: Transparent, adaptable AV communications tuned to task, context, and user traits improve confidence, safety, and interaction success.