Presentation
Visual Perception and Tracking Research in the Era of Artificial Intelligence
DescriptionUnderstanding visual processing is an important topic of HFE research, shedding light on human states and functions. As technology advances, so too does the ability to track vision and user interactions with precision, opening new doors for studying how people engage with the world around them. More recently, artificial intelligence (AI) and machine learning (ML) have transformed vision and attention research by uncovering subtle patterns surpassing traditional monitoring methods to deliver accurate, predictive, and actionable insights.
This symposium has invited a diverse group of leaders to share cutting-edge insights from fields like healthcare and transportation, all with a shared passion for pushing the boundaries of user tracking through AI and ML. Each presenter will offer their unique perspective on how AI is shaping the future of vision research. Attendees can look forward to expert insights on the latest advancements, AI-driven strategies to enhance methods, and a glimpse into the exciting future of advanced analytics in human-AI collaboration. Discussion will address how:
● AI/ML methodology has the potential to transform human visual perception and behaviors in healthcare settings, human-robot interactions, human-vehicle interactions and trust-aware adaptive systems
● Human-AI collaboration can be facilitated by ML of visual perception and mental models
This symposium has invited a diverse group of leaders to share cutting-edge insights from fields like healthcare and transportation, all with a shared passion for pushing the boundaries of user tracking through AI and ML. Each presenter will offer their unique perspective on how AI is shaping the future of vision research. Attendees can look forward to expert insights on the latest advancements, AI-driven strategies to enhance methods, and a glimpse into the exciting future of advanced analytics in human-AI collaboration. Discussion will address how:
● AI/ML methodology has the potential to transform human visual perception and behaviors in healthcare settings, human-robot interactions, human-vehicle interactions and trust-aware adaptive systems
● Human-AI collaboration can be facilitated by ML of visual perception and mental models
Event Type
Discussion Panel
TimeThursday, October 16th9:30am - 11am CDT
LocationGrand Hall K
Perception and Performance