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Featured Projects

CSCW in the Healthcare Enterprise

Lab:

Designing effective CSCW systems in healthcare requires a careful consideration of the entire enterprise. This study uses computational text analysis and network visualization of topical terms and keywords to map the extant knowledge domain of CSCW in healthcare. The results are framed using a multi-level enterprise model, comprised of people, technology, process, and organization. Emerging trends and prominent patterns are identified. The study contributes to a broader understanding of CSCW research in healthcare and demonstrates the value of adapting an enterprise (as a) system lens.

Wearable Technology Partnership Program (WTPP)

Lab:

Wearable Computing Center (WCC)

Visualizing sets to reveal relationships between constituent elements is a complex representational problem. Recent research presents several automated placement and grouping techniques to highlight connections between set elements. However, these techniques do not scale well for sets with cardinality greater than one hundred elements. We present OnSet, an interactive, scalable visualization technique for representing large-scale binary set data.

HMI in Driverless Cars

Lab:

DesigNext Lab

What are the most relevant HCI principles to design a context aware HMI for passengers in a self-driving vehicle?

Upcoming Events

Feb 27

GVU Center Brown Bag: Emma Brunskill "Human-Focused Reinforcement Learning"

This talk will discuss the excitement about reinforcement learning.
Feb 27

IPaT Thursday Think Tank: Small Bets Seed Grant Workshop

Join us for the IPaT Thursday Think Tank on February 27 to meet potential Small Bets collaborators and explore project ideas.
Feb 27

Predicting Psychosis and Neurogenerative Diseases from Speech: A Machine Learning Approach

Dr. Phillip Wolff (Professor of Psychology at Emory University) uses machine learning to predict a person's mental health status from the speech and text that they produce.

All GVU Events

GVU News

Changing the Conversation: Georgia Tech Researchers Provide New Approach to Automated Story Generation

Research from Georgia Tech’s School of Interactive Computing provides a novel approach that improves the combination of automated story generation with natural language.
Jill Watson Team Reaches Semifinals in IBM AI XPrize Competition

Jill Watson – Georgia Tech’s AI designed explicitly for answering student questions about specific courses - was named as one of 10 semifinalists in IBM’s AI XPrize competition.
Why asking an AI to explain itself can make things worse

MIT Technology Review, Jan 30, 2020