System

A system comprising:

• circuitry configured to:
• receive, via a communication interface coupled to a packet-switched network, position-related data and movement-related request data from a terminal device;
• parse the position-related data and the movement-related request data using a feature-extraction algorithm to generate normalized feature values;
• select a prompt template from a plurality of templates based on a request type, substitute the normalized feature values into the prompt template to produce a prompt sentence, and input the prompt sentence to a generative neural network model via the communication interface;
• receive a structured output of the generative neural network model and convert the structured output into time-ordered action instructions by segmenting the output at structural markers and associating each segment with an action type, a start time, and an end time;
• acquire dynamic mobile-object status data from an external data service and merge the dynamic mobile-object status data with the time-ordered action instructions by adjusting time estimates when a conflict is detected;
• and
• compute a route using a pathfinding algorithm applied to route graph data and transmit route guidance data and the time-ordered action instructions to the terminal device.

A method performed by circuitry, the method comprising:

• receiving, via a communication interface coupled to a packet-switched network, position-related data and movement-related request data from a terminal device;
• generating, using a generative neural network model, a prompt sentence encoding the position-related data and movement-related request data as analysis instructions for extraction of relevant information;
• inputting the prompt sentence to the generative neural network model to extract service-classification data from the movement-related request data;
• classifying the service-classification data into one or more service categories based on an output of the generative neural network model;
• acquiring dynamic mobile-object status data from an external data service via the communication interface, and transmitting a notification derived from the dynamic mobile-object status data to the terminal device;
• generating a movement plan by inputting contextual data to the generative neural network model and structuring an output of the generative neural network model into time-ordered action instructions;
• computing a route within a facility using a route search algorithm applied to route network data, and transmitting route guidance data derived from the route to the terminal device;
• acquiring facility-vicinity data and transmitting the facility-vicinity data to the terminal device;
• and
• receiving an emotion state parameter derived from input signals of a user, and adjusting at least one of content, presentation format, or notification frequency of output data based on the emotion state parameter.