Publishing has undergone significant transformations since the early 2000s due to advancements in technology. E-books and audiobooks are on the rise. By incorporating AI into digital media, companies can customize both the selection and presentation of available content, as well as the presentation itself, significantly increasing accessibility for people around the world with impairments.
Dr. Andrew Dillon, member of the ACM SIGCHI Academy for his contributions to human-computer interaction. highlights the importance of AI and data in changing the face of publishing. «Imagine a future where visually impaired readers could explore and fully understand any piece of digital content with equal ease and accuracy as a sighted reader,».
According to the Report «Digital publishing and development» of ACM SIGCHI, there is more book and document accessibility than ever before.With the projected growth of digital media adoption in 2025, companies must prioritize integrating AI into publishing software to ensure long-term success and accessibility.
Among the most transformative innovations is the use of machine learning, especially for its advanced search capabilities. Today, many customers primarily interact with publications through applications, expecting reliable and agile experiences. At the same time, organizations need to ensure that their applications are secure, robust, efficient and capable of delivering optimal performance in any scenario.
ACM SIGCHI three AI and data publishing ideas: reader, content and interaction
- Meeting reader demand: AI can be used for advanced document structure analysis, with more sophisticated text, image, and layout analysis methods. This flexible approach to document analysis simplifies the task of helping visually impaired readers better understand documents.
- AI also plays a key role in ensuring that the right content for visually impaired readers is in the right place. Powered by advanced content analysis, AI facilitates data-driven content organization at all levels, helping publishers offer the ideal content to their readers.
- And also, in the reader-technology interaction. In digital media, user interaction is a crucial aspect of keeping readers engaged. However, behind the interface design decisions lies a significant amount of data that, without proper analysis, can be difficult to interpret.
Advanced data analytics enable publishers to evaluate how users perceive and interact with media. AI, in this context, becomes an essential ally by helping to identify the optimal interface for different consumers. This allows publishers to maximize engagement, resulting in increased accessibility for people with impairments.