22 March 2019

The future of automated driving

In celebration and preparation of the international Auto-UI conference that Utrecht University is organizing, we invited 4 international researchers to join in a panel on “The future of automated driving”. Each panelist has a slightly different perspective ranging from design to computer science to neuroscience.

Each panelist will provide a brief introduction to their perspective on the future of automated driving, which will be followed by a lively discussion with the students. The discussion will be moderated by Dr. Stella Donker and Dr. Chris Janssen from Utrecht University.


When: : Friday March 22nd 2019 15.30-16.30, followed by drinks
Location:  Drift 21, room 105
Moderators: Dr. Stella Donker and Dr. Chris Janssen


  • Dr. Wendy Ju, Cornell Tech
    Wendy Ju is an Assistant Professor of Information Science at the Jacobs Technion-Cornell Institute at Cornell Tech. Previously, Prof. Ju was Executive Director at the Center for Design Research at Stanford University, Associate Professor in the Design MFA program at California College of the Arts. Her work in the areas of automated vehicle interfaces and human robot interaction highlights the ways that interactive devices can communicate and engage people without interrupting or intruding. Prof. Ju has innovated numerous methods for early-stage prototyping of automated systems to understand how people will respond to systems before the systems are built. She has a PhD in Mechanical Engineering from Stanford, and a Master’s in Media Arts and Sciences from MIT. Her monograph on The Design of Implicit Interactions was published in 2015.
  • Dr. Lewis Chuang, Ludwig-Maximilian-University Munich
    Lewis Chuang is an Akademischer Rat of the Institute for Informatics at Ludwig-Maximilian-Universität Munich and a Group Leader for "Cognition and Control for Human-Machine Systems" at the Max Planck Institute for Biological Cybernetics Tübingen. He holds a doctorate in Neuroscience and, since 2011, has worked on improving human-machine partnerships. He employs psychophysics, gaze tracking, and neuroimaging to investigate how we seek out and comprehend task-relevant information when engaged with closed-loop machine systems. His multi-disciplinary projects have received funding at the European, national, and state level, in domains such as wearable computing, augmented/virtual reality, teleoperations, and vehicle handling. Lewis advocates for the importance of human factors in engineering. He co-founded the Workshop of Eye Tracking and Visualization; he is an organizing committee member of the Neuroergonomics Conference; and co-initiated the Fachgruppe Ingenieurpsychologie of the German Society for Psychology. He publishes at high-impact venues for both natural science and engineering, from Scientific Reports to Human Factors to ACM SIGCHI Conference; he is the programme co-chair for Automotive User-Interfaces 2019.
  • Debargha (Dave) Dey, Technical University Eindhoven
    Debargha (Dave) Dey is a Human Factors and HCI researcher, and a PhD candidate at Eindhoven University of Technology in The Netherlands. With a background in Computer Science, he worked at the juncture of software engineering and UX research in web applications before moving to the automotive domain. He holds a Professional Doctorate in Engineering degree in User-System Interaction from Eindhoven University of Technology. He investigates Human-Machine Interactions by conducting design-driven research to identify interaction issues, conceptualize potential solutions, and validate their viability from a user-centered design perspective. His research interests lie in the field of Automotive Human Machine Interfaces, especially in the domain of autonomous driving. His current focus is specifically highly- and fully-autonomous vehicles in the context of vehicle communication with external entities and road users (pedestrians, bicyclists, and human-driven traffic).
  • Remo van der Heiden, Utrecht University
    Remo van der Heiden is a PhD candidate at the Helmholtz Institute & the Experimental Psychology department of Utrecht University. Through funding of the Dutch road authority he is studying human behavior in (semi-)autonomous driving. His background is technical but human centered from his Bachelors in Computer Science and Artificial Intelligence and Masters in Applied Cognitive Psychology. Many of his studies involve (brain) measurement of human susceptibility to auditory signals during simulated driving or being driven autonomously. He studies how drivers perceive relevant auditory information such as warnings during autonomous driving just as good as when they are driving themselves and how we can use specific auditory alert timing to optimize human response. At the same time he has been working on the driving simulator for the past few years to create and optimize a sound testing environment that is able to measure EEG as well as driving performance.