TU Delft professional profile: http://intelligent-vehicles.org/people/christopher-cabrall/
Christopher joined the Delft University of Technology in September 2014 as a Marie Curie Fellow in the HF Auto ITN project. Working within the Driver State Monitoring work package WP3, Christopher will research and develop a system that is able to monitor the driver’s vigilance and mode awareness (i.e. awareness of automation status).
Christopher’s academic background primarily began in Literary Theory for Creative Writing at the University of California in Santa Cruz in 2002, especially pertaining to reader-oriented models of interpretation and constructivism. “Story-telling” in general has remained a persistent theme that underpins his research interests and pursuits.
Transferring to Northeastern University from 2004 to 2007, he obtained his Bachelor’s degree as a Dual Major in Psychology and Linguistics, with a minor in Computer Science. During those 3 years, he was simultaneously employed within the Human Factors division of the Volpe National Transportation Systems Center (a U.S. D.O.T federal research center in Cambridge, Ma). While at Volpe, Christopher’s work contributed to the construction and customization of a low cost driving training simulator as well as sharing these skills with other facilities attempting to build their own.
In between degrees, Christopher moved to Yale University to work within a Psychology “Thinking” lab directed by Dr. Woo-kyoung Ahn investigating processes of human reasoning and causal explanation as well as a categorization psychology lab at the University of New South Wales in Sydney, Australia under Dr. Brett Hayes.
From 2008 to 2010, Christopher studied user-centered test and design methodologies and the science of “work” at San Jose State University in Silicon Valley, culminating in a Master’s degree in Human Factors and Ergonomics. Simultaneously and thenceforth Christopher worked in the Airspace Operations Lab at NASA Ames until August 2014. Researching new responsibilities for Air Traffic Controller and Pilot operators within advanced automation concepts, Christopher published his Master’s Thesis “Aircraft Deconfliction Responsibility Across En Route Sectors in NextGen Separation Assurance” and is listed as an author on over 24 other publications from his group at NASA.
- Human Factors, Interface Design and Analysis, Human-in-the-loop Simulation
- Adaptable and Adaptive Automation, Flexible Artificial Intelligence
- Human Machine Teaming, User Acceptance and Trust, Mental Models
- Transportation Innovation and Advancements
- Situated Cognition, Ecological Design and Test Methodologies
Within HF Auto and his work package, Christopher is most excited to investigate how automated cars and their human operators can both “read” each other at functioning levels (possibly even with in-accurate representations).