Portrait of AJung Moon

AJung Moon

Core Academic Member
moonajung@mila.quebec
Assistant Professor, McGill University, Department of Electrical and Computer Engineering
Research Topics
AI Ethics
AI Safety
Fairness
Human-AI interaction
Human-Centered AI
Human-Computer Interaction (HCI)
Human-Robot Interaction
Robot Ethics
Robotics
Website
Google Scholar
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Biography

Ajung Moon is an experimental roboticist who investigates how robots and AI systems influence the way people move, behave and make decisions in order to help us design and deploy such autonomous intelligent systems more responsibly.

At McGill University, she is the director of the McGill Responsible Autonomy and Intelligent System Ethics (RAISE) lab. This is an interdisciplinary initiative that investigates the social and ethical implications of robots and AI systems, and explores what it means for engineers to be designing and deploying such systems responsibly for a better, technological future.

Current Students

Tanaka Akiyama
Master's Research - McGill University
Github
Rahatul Amin Ananto
PhD - McGill University
Sandrine Bédard
Master's Research - McGill University
Principal supervisor :
Jin Guo
Kadambari Bhujbal
Master's Research - McGill University
Ava Gilmour
Research Intern - McGill University
Github
Leah Leah Davis
Collaborating researcher - None
ledavis@bell.net
Website
Github
Bonam Mingole
Collaborating researcher
Tamara Paris Paris
Master's Research - McGill University
Principal supervisor :
Jin Guo
tamaraprs21@gmail.com
Shalaleh Rismani
PhD - McGill University
Website
Google Scholar
Gauri Sharma
Master's Research - McGill University
Co-supervisor :
Samira Abbasgholizadeh-Rahimi
Github
Google Scholar
Kiara Wimbush
Collaborating researcher
Github
Jocelyn Wong
Research Intern - McGill University
Christopher Yee Wong
Collaborating researcher - McGill University
Website
Github
Google Scholar
Lixiao (Sean) Zhu
PhD - McGill University

Publications

Drivers' Awareness, Knowledge, and Use of Autonomous Driving Assistance Systems (ADAS) and Vehicle Automation
Kelly Selina Bronson
Sophie Le Page
Katherine M. Robinson
AJung Moon
Shalaleh Rismani
Jason Millar
Advanced driver assistance systems (ADAS) technologies in vehicles (e.g. park assist, lane change assist, emergency braking, etc.), which ta… (see more)ke over parts of the driving task of human drivers, are advancing at a disruptive pace and hold the potential to deliver many benefits to society. However, public understanding of ADAS systems, and driver training and licensing for using them, are lagging behind the fast-paced technological development, which could raise safety issues or slow the deployment of ADAS, thus offsetting their potential benefits. There is, therefore, a need to investigate issues related to public perception of ADAS in order to develop appropriate policies and governance structures which support innovation, and result in the smooth deployment and acceptance of appropriate ADAS for society. In this work we perform a quantitative public survey to better understand how the public's awareness and knowledge of ADAS technologies in their vehicles correlate to their use or engagement of those technologies. We find that up to 67% of participants never or rarely use optional ADAS in their vehicles (e.g. adaptive cruise control), where women were less likely than men to use ADAS even though women reported more awareness of ADAS in their vehicles, better training, and more willingness to pay for ADAS. By performing this analysis we hope to raise awareness around the public perception of current state-of-the-art in ADAS technologies. We also hope to flag concerns that answers to these questions might raise for the regulatory agencies, and manufacturers, responsible for bringing these technologies to market.
2019-11-25
arXiv.org (preprint)
dblp.uni-trier.de