(Georgia Institute of Technology, 2023-03-16)
Tidler, Zachary
“Deepfakes” are videos in which the (usually human) subject of a video has been digitally altered to appear to do or say something that they never actually did or said. Sometimes these manipulations produce innocuous novelties (e.g., testing what it would look like if Will Smith had been cast as “Neo” in the film The Matrix), but far more dangerous use cases have been observed (e.g., producing fake footage of Ukrainian President, Volodymyr Zelenskyy, in which he instructs Ukrainian military forces to surrender on the battlefield). Generating the knowledge and tools necessary to defend against potential harms these videos could impose is likely to rely on contributions from a broad coalition of disciplines, many of which are represented in the GVU. In this week’s Brown Bag presentation, we will offer some real-time demonstrations of deepfake technology and present findings from our work that has largely focused on investigating the psychological factors influencing deepfake detection.
(Georgia Institute of Technology, 2016)
Tomlinson, Brianna J.; Bruce, Carrie M.; Schuett, Jonathan H.; Walker, Bruce N.
We determined during a collaboration project in Kenya that students with visual impairments were interested in learning about weather data as part of their Science, Technology, Engineering, and Mathematics (STEM) education. Unfortunately much of this data is not accessible to the students due to lack of integration with assistive technologies, as well as limited access to landline internet. Therefore we created the Accessible Weather App to run on Android and integrate with the TalkBack accessibility feature that is already available on the operating system. This paper discusses the process for determining what features the users’ would require, and our methodology for evaluating the beta version of the app. User feedback was positive and suggestions have helped advance the interface design. The overall goal of our project is to develop, evaluate, and integrate the Accessible Weather App into weather and meteorology learning activities for students with visual impairments.