Explore a conference talk presenting Adasa, an innovative conversational in-vehicle digital assistant designed to enhance driver understanding and usability of Advanced Driver Assistance Systems (ADAS). Discover how this AI-powered assistant responds to drivers' natural language questions and commands in real-time, leveraging advanced machine learning techniques and vehicle signal data. Learn about the challenges faced by drivers in utilizing ADAS features and how Adasa aims to address these issues through its intuitive interface. Gain insights into the system's prototype implementation on a production vehicle and its effectiveness in improving driver interaction with ADAS features. Delve into the research conducted by experts from the ACM User Interface Software and Technology Symposium, showcasing the potential of conversational AI in revolutionizing the driving experience and promoting safer, more efficient use of advanced vehicle technologies.
Adasa - A Conversational In-Vehicle Digital Assistant for Advanced Driver Assistance Features
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Adasa: A Conversational In-Vehicle Digital Assistant for Advanced Driver Assistance Features
Taught by
ACM SIGCHI