{
  "$type": "site.standard.document",
  "description": "A dynamic function allocation (DFA) framework balances the workload or achieves other mitigating optimizations for a human operator of a vehicle by dynamically distributing operational functional tasks between the operator and the vehicle's or robot's automation in real-time. DFA operations include…",
  "path": "/patents/1328068",
  "publishedAt": "2022-09-29T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W50/14",
    "UNITED STATES OF AMERICA AS REPRESENTED BY THE ADMINISTRATOR OF NASA"
  ],
  "textContent": "A dynamic function allocation (DFA) framework balances the workload or achieves other mitigating optimizations for a human operator of a vehicle by dynamically distributing operational functional tasks between the operator and the vehicle's or robot's automation in real-time. DFA operations include those for aviation, navigation, and communication, or to meet other operational needs. The DFA framework provides an intuitive command/response interface to vehicle (e.g., aircraft), vehicle simulator, or robotic operations by implementing a Dynamic Function Allocation Control Collaboration Protocol (DFACCto). DFACCto simulates or implements autonomous control of robot's or vehicle's functional tasks and reallocates some or all tasks between a human pilot and an autonomous system when such reallocation is determined to be preferred, and implements the reallocation. The reallocation is implemented in the event of the human's distraction or incapacitation, in the event another non-nominal or non-optimal cognitive or physical state is detected, or when reallocation need is otherwise-determined.",
  "title": "Method and System for Collaborative Task-Based Allocation Between Human and Autonomous Systems"
}