In the third millennium, the landscape of Human-Computer Interaction (HCI) is being reshaped by the convergence of artificial intelligence, ubiquitous computing, and massive real-time data flows. As digital systems become increasingly integrated into daily human activities, the demand for seamless, intelligent, and context-aware interaction methods grows exponentially. In this evolving scenario, traditional forms of user interaction—graphical interfaces, dashboards, or rigid command-line tools—are often inadequate to meet the expectations of users who need rapid, intuitive, and personalized access to complex information. 

Conversational interfaces, powered by advances in natural language processing and machine learning, represent a transformative approach to HCI. These systems enable a more human-like interaction model that lowers the cognitive barrier for users to access, manipulate, and reason about large volumes of data. They are particularly valuable in high-stakes, dynamic domains—such as healthcare, education, emergency response, and sports—where users must quickly interpret insights and make informed decisions in real time.

This workshop aims to foster dialogue and exchange among researchers, developers, and practitioners working on novel technologies and methodologies in human-computer interaction. The primary objective is to explore the role of conversational systems and intelligent interfaces in facilitating data access, enhancing decision support, and promoting trust, transparency, and usability in AI-driven environments.