###### Abstract  
The development and popularization of navigation applications are increasing expectations for their quality and functionality. Users need continuous navigation not only outdoors, but also indoors. In this case, however, the perception of space and movement is somewhat different than it is outside. One potential method of meeting this need may be the use of so-called geo-descriptions--multi-level textual descriptions relating to a point, line or area in a building. Currently, geo-descriptions are created manually. However, this is a rather time-consuming and complex process. Therefore, this study undertook to automate this process as much as possible. The study uses classical methods of spatial analysis from GIS systems and text generation methods based on artificial intelligence (AI) techniques, i.e., large language models (LLM). In this article, special attention will be paid to the second group of methods. As part of the first stage of the research, which was aimed at testing the proposed concept, the possibility of LLMs creating a natural description of space based on a list of features of a given place obtained by other methods (input parameters for AI), such as coordinates and categories of rooms around a given point, etc., was tested. The focus is on interior spaces and a few selected features of a particular place. In the next stages, it is planned to extend the research to spaces outside buildings. In addition, artificial intelligence can be used to provide the input parameters mentioned above. indoor cartography; GeoAI; artificial intelligence; large language models; geoinformation; indoor navigation +
Footnote †: journal: Medical  
The approach described above is unique and has now been applied for the first time to navigation inside the Warsaw University of Technology, and only partially (navigation applications have not yet been fully applied). Existing indoor navigation applications today are either created in a similar way to outdoor navigators, describing the route using the turn-by-turn method or using so-called landmarks. Descriptions of space to a certain extent can be found in electronic tourist guides (e.g., to support visits to exhibitions, museums), or in descriptions of particular places dedicated to the blind. The proposed approach combines the idea of a description for the blind, a guidebook, and a traditional navigation app. The basis, however, is not a tourist or sightseeing description, but a description of the building's structure. The intention is also to support not only the blind, but all user groups, including those previously accustomed to using traditional graphic maps. A more general description of the space offsets errors resulting from the still low quality of indoor positioning systems (BLE beacons, WiFi), which can be used on a large scale due to cost (in smaller spaces, for example, high-quality UWB positioning can be used, but the cost of such solutions is significantly more expensive). It should also be noted that it is difficult to use step-by-step navigation when there is a lot of traffic, for example, in a shopping mall or train station. Text or voice description of the space, according to the authors, can be an important alternative or supplement to graphic description--important enough to create a new quality in navigation. In this approach, it is more important to build the user's spatial awareness than to control his movement through navigation commands. Table 2 shows a general comparison of different types of navigation guidance. To date, the geo-descriptions within the projects implemented by the authors' research have been created by an expert in a non-automated drafting process. This publication describes research aimed at automating this process (to the extent possible). It could involve at least three steps:  
1. Selecting the places that should be described (landmarks). 2. Acquiring the features of an area. 3. Creating a linguistically correct and natural description.