Portrait de AJung Moon

AJung Moon

Membre académique principal
moonajung@mila.quebec
Professeure adjointe, McGill University, Département de génie électrique et informatique
Sujets de recherche
Systèmes de recommandation
Site web
Google Scholar

Biographie

AJung Moon est une roboticienne expérimentale. Elle étudie comment les robots et les systèmes d'intelligence artificielle influencent la façon dont les gens se déplacent, se comportent et prennent des décisions, afin de déterminer comment nous pouvons concevoir et déployer de tels systèmes intelligents autonomes de manière plus responsable.

À l'Université McGill, elle est directrice du laboratoire McGill Responsible Autonomy & Intelligent System Ethics (RAISE). Le laboratoire RAISE est un groupe interdisciplinaire qui étudie les implications sociales et éthiques des robots et des systèmes d'intelligence artificielle, et explore ce que cela signifie pour les ingénieurs de concevoir et de déployer ces systèmes de manière responsable pour un avenir technologique meilleur.

Étudiants actuels

Tanaka Akiyama
Maîtrise recherche - McGill
Github
Rahatul Amin Ananto
Doctorat - McGill
Sandrine Bédard
Maîtrise recherche - McGill
Superviseur⋅e principal⋅e :
Jin Guo
Kadambari Bhujbal
Maîtrise recherche - McGill
Ava Gilmour
Stagiaire de recherche - McGill
Github
Leah Leah Davis
Collaborateur·rice de recherche - None
ledavis@bell.net
Site web
Github
Bonam Mingole
Collaborateur·rice de recherche
Tamara Paris Paris
Maîtrise recherche - McGill
Superviseur⋅e principal⋅e :
Jin Guo
tamaraprs21@gmail.com
Shalaleh Rismani
Doctorat - McGill
Site web
Google Scholar
Gauri Sharma
Maîtrise recherche - McGill
Co-superviseur⋅e :
Samira Abbasgholizadeh-Rahimi
Github
Google Scholar
Kiara Wimbush
Collaborateur·rice de recherche
Github
Christopher Yee Wong
Collaborateur·rice de recherche - McGill
Site web
Github
Google Scholar
Jocelyn Wong
Stagiaire de recherche - McGill
Lixiao (Sean) Zhu
Doctorat - McGill

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… (voir plus)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 (prépublication)
dblp.uni-trier.de