@ {Maik2024,
	title = {Knowledge-based approach to adaptive XR interface design for non-programmers},
	journal = {The Visual Computer},
	year = {2024},
	abstract = {Customizing extended reality (XR) interfaces presents a significant challenge, especially for users with limited programming expertise. This paper introduces the method for adaptation of XR interfaces (MAXI-XR), a novel approach to simplify the customization process of XR user interfaces through knowledge technologies. MAXI-XR offers a user-friendly solution for interface design, supporting users with varying levels of technical skills. The basis of MAXI-XR is its Semantic Knowledge Base, which facilitates intelligent adaptations through advanced querying and reasoning, enabling the extraction of user-specific information for context-based XR interface adaptation. The functionality of MAXI-XR is demonstrated by its application in a VR stock market data visualization system. This system demonstrates MAXI-XR{\textquoteright}s ability to adapt to complex and data-intensive environments according to user requirements, improving the interaction experience. Furthermore, the method{\textquoteright}s scalability and ease of maintenance make it a versatile tool for a wide range of applications beyond stock market visualization, suggesting its potential for broader adoption in various XR domains.},
	doi = {10.1007/s00371-024-03472-6},
	url = {https://doi.org/10.1007/s00371-024-03472-6},
	author = {Miko{\l}aj Maik and Jakub Floty{\'n}ski and Krzysztof Walczak}
}
