Evaluating potential consequences to mitigate negative effects. IPaT is shaping the human-technology frontier by growing human capabilities at every level. We're exploring new ideas in user experiences that foster creativity, stimulate learning and enable productive collaboration. Through this initiative, we're researching a variety of wearable computing, assistive, augmented reality, and gaming technologies. In addition, to insuring the alignment of these and other future technologies with responsible and ethical practices.
Featured Labs, Centers, and Projects
Center for the Development and Application of Internet of Things Technologies
The Center for the Development and Application of Internet of Things Technologies (CDAIT) fosters the development of interdisciplinary Internet of Things (IoT) research and education that bridges sponsors with Georgia Tech researchers and faculty as well as industry members who share similar interests.
The Cognitive Engineering Center
In our complex world of humans and machines, CEC researchers are building the foundations, training, and technologies for safe and effective work.
VisualizaXiong Lab
This research program combines visual perception, cognition, and data visualization by investigating how humans perceive, interpret, and make decisions from visualized data.
Ubicomp Health and Wellness Lab
Our goal is to design technology to improve health and wellness outcomes. We address major challenges in health management, including patient engagement, continuity of care and point-of-care interaction. We do this by leveraging gold standards of care to design, build, and deploy ecological computational systems.
Work Science Center
The Work Science Center promotes the psychological study of people and work in the 21st century. The Center leverages knowledge from psychological sciences and allied disciplines to promote improved worker health, development, and well-being; increase organizational value through improved job quality and work-life; inform public policymakers to improve lives at work and beyond.
Juba Ziani Lab
Juba Ziani's research lies at the intersection of computer science, operations research, and economics. We use tools from learning theory, game theory, and optimization to address technical and societal challenges arising from the rise of artificial intelligence, machine learning, and data-driven decision making.