MULTI-AGENT INFORMATION TECHNOLOGY FOR ASSESSING THE ACCESSIBILITY OF MULTIMODAL CONTENT

Abstract

The rapid pace of digital transformation and the growing role of web technologies in the modern world necessitate ensuring equal access to online resources for all users, including people with disabilities. Despite the availability of international standards and legislation, a significant portion of digital content remains difficult to access for certain categories of users.This creates a digital barrier and hinders the full participation of people with special needs in online activities – from using public services to obtaining education and employment. As one of the ways to solve this problem, innovative multi-agent information technology is proposed, which allows us to comprehensively assess the accessibility of various types of web content: sites, PDF documents and images. Unlike existing solutions, which are often limited to only one format, the technology provides a unified approach to analyzing web accessibility. The key advantages of the proposed technology are automation of the verification process in accordance with WCAG, parallel processing of requests due to multi-agent architecture, user-friendly interface and integration with a database to minimize repeated checks. The approach is based on the use of several existing tools with subsequent consolidation and harmonization of results.The modular structure of the system and the use of modern libraries allow scaling the solution and expanding its functionality. The proposed approach can significantly reduce the time and resources for checking web accessibility, which is especially important for large web resources with a significant amount of content. The implementation of the proposed multi-agent system will enhance digital accessibility, ensuring that users with different types of impairment can effectively access and interact with web content. Future research will focus on enhancing the system’s capabilities, extending support for additional document formats, integrating with cloud services, and leveraging artificial intelligence techniques to further improve the accessibility evaluation process.