Persona-PhysioSync AV: Personalized Interaction through Personality and Physiology Monitoring in Autonomous Vehicles

Area of Science:

• Human-Computer Interaction
• Autonomous Systems
• Transportation Technology

Background:

• Autonomous vehicles (AVs) require user trust and acceptance for widespread adoption.
• Current AVs often use a uniform approach, potentially limiting societal integration.
• Personalization is key to enhancing passenger comfort and engagement in AVs.

Purpose of the Study:

• Introduce the Persona-PhysioSync AV (PPS-AV) framework for personalized autonomous vehicle experiences.
• Enhance passenger trust and comfort by integrating personality traits with real-time physiological and emotional indicators.
• Improve safety during critical events like Take-Over Requests (TOR) by monitoring and ensuring passenger attentiveness.

Main Methods:

• Developed the PPS-AV framework combining passenger personality traits with physiological and emotional indicators.
• Implemented real-time monitoring of passenger engagement and comfort levels within the AV.
• Integrated alerts for critical drops in engagement or situational awareness, particularly for TOR events.

Main Results:

• The PPS-AV framework enables personalized AV experiences by synchronizing with passenger states.
• Real-time monitoring and feedback mechanisms foster heightened Human-Vehicle Interaction (HVI).
• The system demonstrates potential for increasing passenger trust and comfort in AVs.

Conclusions:

• The PPS-AV framework is a foundational tool for advancing autonomous transportation.
• Personalization through personality and physiological syncing is crucial for AV acceptance.
• Future developments will focus on advanced interaction protocols to further enhance the passenger experience and accelerate AV adoption.