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Characterizing Street-level Accessibility at Scale
Speaker (s):
Kotaro Hara
Postdoctoral Fellow
Human-Computer Interaction Institute
Robotics Institute, Carnegie Mellon University
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Date:
Time:
Venue:
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February 2, 2017, Thursday
10:00 am - 11:00 am
Meeting Room 4.4, Level 4
School of Information Systems
Singapore Management University
80 Stamford Road
Singapore 178902
We look forward to seeing you at this research seminar.
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ABOUT THE TALK
Poorly maintained sidewalks pose considerable accessibility challenges for people with mobility impairments. Despite comprehensive civil rights legislation for people with disabilities, many streets and sidewalks in cities remain inaccessible. The problem is not just that sidewalk accessibility fundamentally affects where and how people travel in cities, but also that there are few, if any, mechanisms to determine accessible areas a priori. In this talk, I will introduce scalable data collection methods for acquiring street-level accessibility information using a combination of crowdsourcing, computer vision, machine learning, and Google Street View. Our overarching goal is to transform the ways in which accessibility information is collected and visualized for every sidewalk, street, and building façade in the world.
In this talk, I will present some of my research work that exemplify my vision of mediated human-environment interaction, and discuss intriguing possibilities for future research in this topic.
ABOUT THE SPEAKER
Kotaro Hara is a Postdoctoral Fellow in the Human-Computer Interaction Institute and the Robotics Institute at Carnegie Mellon University. His research focuses on designing, building, and evaluating systems powered by both people and machines to improve the accessibility of the physical world. Kotaro received his BE in Information Engineering from Osaka University. He received PhD in Computer Science from the University of Maryland, College Park (UMD) in 2016 where he was named an IBM Ph.D. Fellow (2014).
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