The rise of ubiquitous technology has resulted in opportunities for the design of new interactive museum exhibits that can be customized to families. Children's museums can be engaging, informal settings in which children learn fundamental science, technology, engineering, and math (STEM) concepts through hands-on experiences.
Accelerating Scientific Discovery using AI technologies
The goal of this research is to investigate the role that intelligent agents might play in facilitating these interactions to ensure that patients are empowered to learn about and manage their health, that doctors are not overburdened, and that the communication and coordination between the two remains effective and efficient in the short and long term.
Sensiotec, an ATDC startup, has developed Virtual Medical Assistant , the world's first FDA-cleared, truly remote, totally non-contact, real-time cardiorespiratory and patient motion monitor ‚ an invisible, non-wearable, contact-free system that provides scalable, high value, low cost, location-agnostic patient care.
It has been said that Jill Watson is the most famous teaching assistant in the world. Jill's origin actually is quite humble. She was conceived in summer 2015 with the purpose of helping Georgia Tech's Online MS in CS Program (OMSCS) and specifically with my online course on knowledge-based artificial intelligence (KBAI) as a part of OMSCS program ( Jill had a very difficult birth in fall 2015. Jill was quite precocious almost from the beginning.
Virtual Ventriloquism
Most sound comes through our ears. However, it is also possible to pass vibrations through the bones of the head and bypass much of the normal hearing pathway. This is called bone conduction audio and can be used in situations where the ears need to be plugged, or where you need to leave the ears open to hear ambient sounds. We are studying the psychoacoustics as well as the applied aspects of bone conduction audio. A current application being investigated is the scenario of the distracted cyclist or pedestrian
The proposed research will create Visual Analytics by Demonstration prototypes, generalizable toolkits, and demonstration primitives to foster exploration and discovery in visual analytics.
One of the most difficult undertakings that faces modern rotary aircraft pilots is shipboard landings. The task presents a unique challenge of landing on a moving ship affected with unpredictable shifts in ship deck pitch and relative altitude caused by ocean waves. This project is focused on developing cueing aids to help pilots during this task by improving performance and reducing workload. Different 3D cueing symbologies were created and then tested by pilots in a high fidelity simulator. This work has been conducted in partnership with Bob Walters, College of Aerospace PHD Student.
The Visual Policy Initiative aims to transform complex policy issues into easy to understand data visualizations using empirically-derived evidence. The Visual Policy team is comprised of a group of researchers from both public policy and digital media. Through this collaborative effort, we aim to transform complex policy issues into easy to understand data visualizations using empirically-derived evidence.
The goal of this study is to understand how people interact with tangible user interfaces through play with the intent to support exploration, discovery, and learning of visual narratives. We designed the interactive system with the use of tangible blocks as primary interaction mode in mind, which contain various design elements of sequential art (graphic novels), for creating, editing, modifying visual narratives through different configuration and combination of blocks viewed under a device, such as such as a mobile phone in the form of augmented reality.
Visualization Journalism is focused on developing an interface and graphical metalanguage for massive multimodal news datasets. Such datasets are increasingly available, but for copyright reasons, they cannot be made entirely open to the public. The project seeks to offer an abstracted and legal representation of news data, to enable comparative, cooperative and computer-supported analysis of trends across news events and networks.
This study describes a data-driven visualization approach to the systemic study of innovations in global supply chain networks. We demonstrate its applicability with illustrative examples of real-world supply chain in the electronics industry. Our visualization approach enhances the hypothesis-generating process as it can reveal important clusters, patterns, trends, and outliers in the networks.