Method and device for generating weighted text output and/or speech output based on input data

A device for automatically generating a weighted text output and/or speech output based on input data, wherein the device comprises an evaluation and computing unit that is designed to perform the following steps:

• providing graphical input data comprising objects via an input interface of at least one machine learning model;
• providing labeling information for at least one of the objects and at least one weighting information for at least one of the objects and/or for at least one of the labeling information via a further input interface of the at least one machine learning model as additional metadata to the graphical input data, wherein the labeling information comprises a respective object description and/or classification and/or interaction information between objects, wherein the at least one weighting information comprises a ranking and/or an importance and/or a sequence for the at least one of the objects and/or for the at least one of the labeling information;
• and
• processing the graphical input data, the labeling information and the at least one weighting information by the at least one machine learning model to generate the text output and/or speech output weighted on the basis of the at least one weighting information.