A human-centered approach to visualization amplifies and extends human perceptual, cognitive, and performance capabilities, casting information into a form that exploits the unique properties of our perceptual system’s information processing capabilities. New visual displays being developed by IHMC researchers Larry Bunch, Tom Eskridge, Jeff Bradshaw, David Still, Matt Johnson, and...

A human-centered approach to visualization amplifies and extends human perceptual, cognitive, and performance capabilities, casting information into a form that exploits the unique properties of our perceptual system’s information processing capabilities. New visual displays being developed by IHMC researchers Larry Bunch, Tom Eskridge, Jeff Bradshaw, David Still, Matt Johnson, and Michael Vignati exploit current vision and neuroscience research to reinvent the presentation of information by harnessing the sophisticated processing power of the human visual system. These displays present data in a manner that allows the operator to understand the...

IHMC researchers are working on advancing autonomous capabilities of Robots, Software Agents and Artificial Intelligence with the aim of creating more effective machine teammates. The view of robots as teammates has grown as the field of robotics has matured. The future will belong to collaborative or cooperative systems that...

IHMC researchers are working on advancing autonomous capabilities of Robots, Software Agents and Artificial Intelligence with the aim of creating more effective machine teammates. The view of robots as teammates has grown as the field of robotics has matured. The future will belong to collaborative or cooperative systems that do not merely do things for people, “autonomously,” but that can also work together with people, enhancing human experience and productivity in everyday life. IHMC’s research on Human-Machine Teamwork involves: Understanding Teamwork Analyzing Teamwork Building Systems that Team Effectively Measuring Team performance Learning How...

Advances in technology have made it ever easier to collect and store data.  While the amount of data has increased tremendously, data collection is often opportunistic: There is only limited control over what, when, and how much data is collected, leading to inconsistency and fragmentary and uneven coverage.  In addition, the connections one might...

Advances in technology have made it ever easier to collect and store data.  While the amount of data has increased tremendously, data collection is often opportunistic: There is only limited control over what, when, and how much data is collected, leading to inconsistency and fragmentary and uneven coverage.  In addition, the connections one might seek from the data are almost always non-deterministic and uncertain. Traditional statistical and logical analyses are inadequate in many of these situations. IHMC researchers James Allen, Greg Dubbin, Clark Glymour and Choh Man Teng work on a...