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Past Talks

Dr. Liz Bowman

Dr. Elizabeth Bowman
U.S. Army Research Laboratory
Artificial Intelligence, Machine Learning and Information: Army Social Computing Research
Tuesday, December 5th
Haldeman 041 Kreindler Conference Room
4:00 PM

Dr. Fabio Pierazzi

Dr. Fabio Pierazzi
Royal Holloway University of London
Network Security Analytics for Detection of Advanced Cyberattacks
Tuesday, November 28th
Sudikoff Trust Lab (L045)
12:30 PM

V.S. Subrahmanian

V.S. Subrahmanian
Dartmouth Distinguished Professor in Cybersecurity, Technology, and Society
Bots, Socks, and Vandals
Tuesday, November 14th
Carson L01
5:00 PM 

Rand Beers

Rand Beers ('64)
Big Data, the Internet, and Social Media:  The Road to the November 2016 Election
Wednesday, November 8th
Haldeman 41 (Kreindler Conference Hall)
4:30 PM 

Fright Night Imge

Wanna See Something REALLY Scary?
ISTS Looks at the Dark Web on Halloween Night
Tuesday, October 31st
S
udikoff  045 Trust Lab (dungeon)
7:30 PM - RSVP
Space is Limited 

Sal Stolfo

Salvatore J. Stolfo 
Columbia University
A Brief History of Symbiote Defense
Tuesday, October 31st
Rockefeller 003
5:00 PM

Dan Wallach

STAR-Vote: A Secure, Transparent, Auditable and Reliable Voting System

Professor Dan Wallach
Rice University
Thursday April 27, 2017
Carson L01, 5:00 PM

Ben Miller Dragos

Pandora's Power Grid - What Can State Attacks Do and What Would be the Impact?

Ben Miller
Chief Threat Officer, Dragos, Inc.
Tuesday May 2, 2017
Kemeny 007, 4:30 PM
Brendan Nyhan

 

 

 

Factual Echo Chambers? Fact-checking and Fake News in Election 2016.

Professor Brendan Nyhan
Dartmouth College
Thursday May 4, 2017
Rocky 001, 5:00 PM

Dickie George

 

Espionage and Intelligence

Professor Dickie George
Johns Hopkins University
Thursday May 11, 2017
Rocky 001, 5:00 PM

Dan Wallach

A Nation Under Attack: Advanced Cyber-Attacks in Ukraine

Ukrainian Cybersecurity Researchers
Thursday April 6, 2017
Oopik Auditorium 5:30 PM

ISTS Information Pamphlet


2012BrochureCover

 

Institute for Security, Technology, and Society
Dartmouth College
6211 Sudikoff Laboratory
Hanover, NH 03755 USA
info.ists@dartmouth.edu
HomeEvents >

Real-Time Crowd Support for People with Disabilities

Tuesday, November 15, 2011
Jeffrey Bigham
University of Rochester
Co-sponsored by the CS Colloquium and ISTS 

Abstract

bigham
Jeffrey Bigham
University of Rochester 

The past few decades have seen the development of wonderful new intelligent technology that serves as sensors and agents onto an inaccessible world for people with disabilities, but it remains both too prone to errors and too limited in the scope to reliably address many problems faced by people with disabilities in their everyday lives.  We have been developing approaches to crowdsourcing that work in real-time to overcome these problems.  In this talk, I'll discuss the following recent projects that use real-time crowdsourcing:

  1. VizWiz, an accessible iPhone application that blind people use to take a picture, speak a question, and receive answers from the crowd in under a minute. More than 20,000 questions have been asked so far, giving us insight into the types of questions blind people want answered. 
  2. Legion, a system that lets dynamic groups collaboratively control existing user interfaces using a VNC-like setup. These applications collectively inform a new model of human-computer interaction in which a dynamic group of unreliable individuals act as a single reliable user.

Bio

Jeffrey P. Bigham is an Assistant Professor in the Department of Computer Science at the University of Rochester where he directs ROC HCI.  His works spans Access Technology, Human Computation, and Intelligent User Interfaces. He is specifically interested in technology that engages the crowd to assist people with disabilities in their everyday lives. Professor Bigham received his Ph.D. in 2009 in Computer Science and Engineering from the University of Washington working with Dr. Richard Ladner, and his B.S.E. from Princeton in 2003. Jeffrey has received a number of awards for his work, including the Andrew W. Mellon Foundation Award for Technology Collaboration, the MIT Technology Review Top 35 Innovators Under 35 Award, two ASSETS Best Student Paper Awards, and the UIST 2010 Best Paper Award.

Video

Last Updated: 12/2/11