Method for context-aware adaptation of a visual user interface based on estimating the distance to the user
DOI:
https://doi.org/10.30837/2522-9818.2026.2.005Keywords:
interface; distance; computer vision; depth map; model; methodAbstract
The relevance of this research topic stems from the need to transition from static interfaces to flexible systems capable of dynamically adapting to the user’s physical context, particularly to changes in viewing distance, thereby reducing cognitive load and enhancing the comfort of interaction. The object of the study is the process of context-aware adaptation of the user visual interface in real time depending on the distance to the user, specifically the typographic parameters of the user interface. The subject of the study is approaches to determining the distance to the user based on video stream data. The aim of the study is to develop a method for context-aware adaptation of the user interface based on determining the distance to the user, which ensures dynamic scaling of the typographic system to reduce cognitive load and enhance interaction comfort in real time. To achieve the set goal, the following tasks were addressed: existing approaches to determining the distance to an object were analyzed, and a method for dynamically changing the scale of the user visual interface was developed, based on the proportional relationship between the distance from the interface to the user and the size of the base typographic unit (point size). To experimentally verify the high accuracy of determining the distance from the visual interface to the user, the study examined the impact of various factors (head tilt in the frontal and sagittal planes, rotation in the horizontal plane), as well as the chosen approach to determining the distance to the object, on the accuracy of distance measurement. The developed method ensures the adaptation not only of font size but also of related typographic parameters (line spacing, character spacing, and paragraph indentation). It has been established that the approach based on a depth map with approximation provides the most balanced results in terms of accuracy and practical applicability, demonstrating an error of 1.83–3.67% in the range of 30–90 cm. It was also shown that the user’s head orientation is a critical factor affecting measurement accuracy, and the maximum error at close range reaches 201.3%.Downloads
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