Description: Interaction Analysis studies how users interact with chatbots to improve user experience. This analysis focuses on understanding the communication dynamics between humans and machines, evaluating how users perceive and utilize chatbots across various platforms. By collecting data on interactions, patterns of behavior, preferences, and areas for improvement can be identified. Key metrics include user satisfaction rate, effectiveness in query resolution, and response time. The main goal is to optimize the chatbot’s interface and content, ensuring it is intuitive and useful. This approach not only helps improve the chatbot’s functionality but also contributes to a smoother and more satisfying user experience, encouraging greater adoption and use of these tools in daily life. In a world where automation and artificial intelligence are constantly growing, Interaction Analysis becomes an essential tool for designers and developers looking to create effective and user-centered solutions.
