Defense Advanced Research Projects AgencyTagged Content List

Human-Machine Interface

Relating to the interaction between humans and machines

Showing 13 results for Interface + Programs RSS
The Agile Teams (A-Teams) program aims to discover, test, and demonstrate generalizable mathematical abstractions for the design of agile human-machine teams and to provide predictive insight into team performance.
Humans intuitively combine pre-existing knowledge with observations and contextual clues to construct rich mental models of the world around them and use these models to evaluate goals, perform thought experiments, make predictions, and update their situational understanding. When the environment contains other people, humans use a skill called theory of mind (ToM) to infer their mental states from observed actions and context, and predict future actions from those inferred states.
The Department of Defense (DoD) maintains information systems that depend on Commercial off-the-shelf (COTS) software, Government off-the-shelf (GOTS) software, and Free and open source (FOSS) software. Securing this diverse technology base requires highly skilled hackers who reason about the functionality of software and identify novel vulnerabilities.
The DARPA Subterranean (SubT) Challenge aims to develop innovative technologies that would augment operations underground. The SubT Challenge will explore new approaches to rapidly map, navigate, search, and exploit complex underground environments, including human-made tunnel systems, urban underground, and natural cave networks.
Dramatic success in machine learning has led to a torrent of Artificial Intelligence (AI) applications. Continued advances promise to produce autonomous systems that will perceive, learn, decide, and act on their own. However, the effectiveness of these systems is limited by the machine’s current inability to explain their decisions and actions to human users (Figure 1). The Department of Defense (DoD) is facing challenges that demand more intelligent, autonomous, and symbiotic systems. Explainable AI—especially explainable machine learning—will be essential if future warfighters are to understand, appropriately trust, and effectively manage an emerging generation of artificially intelligent machine partners.