This contribution outlines a cognitive engineering approach to structure, describe and depict configurations for highly automated human-machine systems using a common language. These systems involve cognitive agents, for autonomous vehicle guidance and mission management. The method focusses on the systematic top-down deduction of requirements for human-autonomy work share and interaction in the work process. Therefore, this contribution outlines a procedure to follow to design and describe such human-autonomy teaming systems, related user and system requirements, and top-level system designs. This contribution primarily aims at the application field of military, highly automated manned/unmanned vehicle systems
The Human-Autonomy Teaming paradigm (HAT) has recently emerged to model and design hybrid teams, whe...
The Human-Autonomy Teaming paradigm (HAT) has recently emerged to model and design hybrid teams, whe...
Future unmanned systems in the military will be highly heterogeneous in nature, with vehicles from m...
This contribution outlines a cognitive engineering approach to structure, describe and depict config...
Intelligent and complex systems are becoming common in our workplace and our homes, providing direct...
Intelligent and complex systems are becoming common in our workplace and our homes, providing direct...
The roles of human operators are changing due to increased intelligence and autonomy of computer sys...
The US Army’s vision of future warfare includes command and control (C2) of multiple manned and unin...
In order to meet the demand for enabling one operator to control multiple heterogeneous unmanned veh...
In order to meet the demand for enabling one operator to control multiple heterogeneous unmanned veh...
Interaction in a human-robot team in a changing environment is a big challenge. Several essential as...
Even as future robots grow in intelligence and autonomy, they may continue to face uncertainty in th...
The Human-Autonomy Teaming paradigm (HAT) has recently emerged to model and design hybrid teams, whe...
Even as future robots grow in intelligence and autonomy, they may continue to face uncertainty in th...
Interaction in a human-robot team in a changing environment is a big challenge. Several essential as...
The Human-Autonomy Teaming paradigm (HAT) has recently emerged to model and design hybrid teams, whe...
The Human-Autonomy Teaming paradigm (HAT) has recently emerged to model and design hybrid teams, whe...
Future unmanned systems in the military will be highly heterogeneous in nature, with vehicles from m...
This contribution outlines a cognitive engineering approach to structure, describe and depict config...
Intelligent and complex systems are becoming common in our workplace and our homes, providing direct...
Intelligent and complex systems are becoming common in our workplace and our homes, providing direct...
The roles of human operators are changing due to increased intelligence and autonomy of computer sys...
The US Army’s vision of future warfare includes command and control (C2) of multiple manned and unin...
In order to meet the demand for enabling one operator to control multiple heterogeneous unmanned veh...
In order to meet the demand for enabling one operator to control multiple heterogeneous unmanned veh...
Interaction in a human-robot team in a changing environment is a big challenge. Several essential as...
Even as future robots grow in intelligence and autonomy, they may continue to face uncertainty in th...
The Human-Autonomy Teaming paradigm (HAT) has recently emerged to model and design hybrid teams, whe...
Even as future robots grow in intelligence and autonomy, they may continue to face uncertainty in th...
Interaction in a human-robot team in a changing environment is a big challenge. Several essential as...
The Human-Autonomy Teaming paradigm (HAT) has recently emerged to model and design hybrid teams, whe...
The Human-Autonomy Teaming paradigm (HAT) has recently emerged to model and design hybrid teams, whe...
Future unmanned systems in the military will be highly heterogeneous in nature, with vehicles from m...