{
  "$type": "site.standard.document",
  "description": "Dynamic adjustment of navigation guidance information, based on user-specific attributes or characteristics that are estimated using predictive Artificial Intelligence (AI) engines. A user of a smartphone requests navigation guidance for walking to a destination location. A mapping and navigation…",
  "path": "/patents/1381061",
  "publishedAt": "2026-04-16T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G01C21/3617",
    "Maya Vidal"
  ],
  "textContent": "Dynamic adjustment of navigation guidance information, based on user-specific attributes or characteristics that are estimated using predictive Artificial Intelligence (AI) engines. A user of a smartphone requests navigation guidance for walking to a destination location. A mapping and navigation application generates a regular route, and estimates that it will take N minutes of walking for a regular user. Innovatively, a Large Language Model (LLM) analyzes email and text and SMS messages that the user sent and received, and social media posts of the user, and contextual information extracted from applications running on the user's smartphone, to predict that this specific user will make a specific stop or detour for a particular purpose, such as to purchase a cold drink on a hot day or to pick-up a ready-for-pickup medication at a pharmacy. The navigation application adjusts or increases the estimated walking time to account for the predicted stop or detour that this specific user will most likely make, as predicted by the LLM.",
  "title": "System and Method for Dynamic Adjustment of Navigation Guidance Information Based on User-Specific Attributes and Predictive Artificial Intelligence (AI)"
}