Museum visitors need support tools to facilitate their informal learning. In this paper, we present ARCoins, an augmented reality app to support informal learning about numismatics. Our app helps museum visitors to read the deteriorated text of coins and also shows additional information that offers a clear idea of the general meaning of the coinage of the coins. The app recognizes the real coins. We carried out a study to determine the potential of the app. A total of twenty-eight subjects between 19 and 65 years old participated in the study. The participants observed the real coins using ARCoins and a magnifying glass. From the results, ARCoins allows the participants to read the deteriorated text and even observe the most imperceptible details of the coins. There were statistically significant differences for reading the text when the participants used ARCoins and the magnifying glass in favour of ARCoins. The participants preferred ARCoins for a more enriching museum experience. ARCoins could be a valuable AR app for informal learning about numismatics in museums.

This study examines the relationship between the Latin American Artificial Intelligence Index (ILIA) and the Web Accessibility Index (WAIN) in 19 Latin American countries to evaluate how technological innovation aligns with digital inclusivity. Results reveal notable disparities: Uruguay, Chile, and Brazil excel in both indices, whereas Jamaica and Venezuela face critical challenges. Significantly, high scores in artificial intelligence adoption do not always correlate with improved web accessibility, underscoring the need for integrated strategies that prioritize compliance with the Web Content Accessibility Guidelines (WCAG) 2.2 and inclusive design. The research highlights accessibility as a fundamental pillar for sustainable digital ecosystems and equitable technology access. Limitations include the regional focus on Latin America, the reliance on automated tools, and the dynamic nature of technology. Future research should incorporate longitudinal analyses, user-centered evaluations, and comparative studies across diverse regions to develop comprehensive frameworks. By aligning technological progress with inclusivity, this study emphasizes the importance of fostering sustainable and accessible digital environments. Recommendations include adopting accessibility standards in early development stages, enhancing public policy, and prioritizing universal design. These steps are essential to achieving the Sustainable Development Goals (SDGs) related to reducing inequalities and promoting inclusive institutions. This work is a foundation for advancing equitable digital ecosystems in Latin America.

This study presents a system for automatic cookie collection using bots that simulate user browsing behavior. Five bots were deployed, one for each of the most commonly used university browsers, enabling comprehensive data collection across multiple platforms. The infrastructure included an Ubuntu server with PiHole and Tshark services, facilitating cookie classification and association with third-party advertising and tracking networks. The BotSoul algorithm automated navigation, analyzing 440,000 URLs over 10.9 days with uninterrupted bot operation. The collected data established relationships between visited domains, generated cookies, and captured traffic, providing a solid foundation for security and privacy analysis. Machine learning models were developed to classify suspicious web domains and predict their vulnerability to XSS attacks. Additionally, clustering algorithms enabled user segmentation based on cookie data, identification of behavioral patterns, enhanced personalized web recommendations, and browsing experience optimization. The results highlight the system’s effectiveness in detecting security threats and improving navigation through adaptive recommendations. This research marks a significant advancement in web security and privacy, laying the groundwork for future improvements in protecting user information.

We present an interactive game for assessing auditory and spatial memory. We compared the performance of children with and without inattention using the game and using a variety of classical tools for assessment of auditory and spatial memory. The children with inattention showed statistically worse performance in the game. There were no statistically significant differences between the two groups for the satisfaction and interaction outcomes. Therefore, our game could be a good tool for distinguishing performances of children with and without inattention.