{
  "$type": "site.standard.document",
  "description": "Systems, methods, and other embodiments described herein relate to detecting dissonance by an operator using a learning model during shared control involving a driving scenario from an operator preference and cue for adapting a driving model. In one embodiment, a method includes detecting…",
  "path": "/patents/1381333",
  "publishedAt": "2026-04-23T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W50/0097",
    "Toyota Research Institute, Inc."
  ],
  "textContent": "Systems, methods, and other embodiments described herein relate to detecting dissonance by an operator using a learning model during shared control involving a driving scenario from an operator preference and cue for adapting a driving model. In one embodiment, a method includes detecting characteristics about a driving scenario and an operator from acquired sensor data and an operator factor. The method also includes predicting dissonance for an automated takeover using a learning model with the characteristics, a driving command, and a cue about the operator. The method also includes adapting a shared-driving model (SDM) associated with a vehicle during a maneuver using the dissonance.",
  "title": "SYSTEMS AND METHODS FOR PREDICTING DISSONANCE DURING SHARED CONTROL OF A VEHICLE"
}