Human-Machine Interaction for Knowledge Discovery and Management

Abstract

The ongoing data explosion driven by digital information growth has led to the emergence of human-machine interaction (HMI) as a vital tool in knowledge discovery and management across various disciplines. The exponential growth of knowledge discovery and management due to the influx of digital data and investigates into HMI applications, encompassing data visualization, natural language processing, machine learning, and augmented reality, with real-world examples demonstrating their ability in deciphering complex data and extracting insights. Ethical concerns and future directions, including issues of bias, privacy, security, and research prospects like explainable AI and personalized interfaces, are also discussed. The societal and workforce implications of HMI are explored, highlighting its potential benefits and challenges while advocating for responsible development and policies to ensure a harmonious interaction between humans and machines in the realm of knowledge discovery and management.