Volume 16, No 2, 2019
AI-Enabled News Application: Enhancing User Experience With AI Assistant
Dr. Sanjiv Kumar Shukla
Abstract
The rapid advancements in artificial intelligence (AI) have revolutionized various industries, including news delivery and consumption. This research paper presents a comprehensive study on the development of a news application integrated with Alan AI assistant, aimed at enhancing the user experience and accessibility of news content. The objective of this project is to create a user-friendly web application that utilizes AI technologies to provide users with personalized news articles and the option to listen to news content through the AI assistant. The problem addressed by this research is the increasing amount of news available online, making it challenging for users to find relevant and trustworthy information. Traditional news applications often lack interactive features and personalization options, resulting in a less engaging experience for users. By integrating an AI assistant into the news application, we aim to address these challenges and offer a more intuitive and interactive platform for news consumption. The methodology employed in this project involves utilizing React, a JavaScript library for building user interfaces, to develop the web application. The News API is utilized to fetch the latest news articles from various reliable sources, ensuring the availability of diverse and up-to-date content. Additionally, the Alan AI API is integrated into the application to enable voice-based interaction and allow users to listen to news articles instead of reading them. The key findings of this research highlight the effectiveness of integrating an AI assistant into a new application. The user study conducted to evaluate the application demonstrated that the AI assistant significantly enhances the user experience by providing a hands-free and convenient way to consume news. Users appreciated the option to listen to news articles while performing other tasks, improving accessibility for those with visual impairments or busy schedules. The significance of this research lies in the potential impact it can have on the news industry and user engagement. By integrating an AI assistant, news applications can adapt to users' preferences and provide a more personalized experience. This can lead to increased user satisfaction, longer engagement durations, and ultimately, a stronger connection between users and the news content. Furthermore, the integration of voice-based interaction offers a more inclusive platform, accommodating users with different needs and preferences. This research paper presents a novel approach to news consumption by integrating an AI assistant into a web application. The study demonstrates the benefits of this integration in terms of user experience, personalization, and accessibility. The findings of this research open doors to further exploration of AI applications in the news industry, emphasizing the potential for improving news delivery and engagement. By embracing AI technologies, news applications can adapt to the evolving needs of users and foster a more interactive and engaging news consumption experience.
Pages: 430-438
Keywords: Artificial Intelligence, Voice assistant, Alan AI, Natural language processing, Voice-driven experience, Personalized news summaries, Machine learning algorithms.