End User

"End-user" research focuses on how non-experts interact with and utilize technology, aiming to improve usability, acceptance, and overall user experience. Current research emphasizes understanding factors influencing technology adoption, employing models like the Technology Acceptance Model (TAM) and incorporating techniques like Partial Least Squares Structural Equation Modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) for data analysis. This field is crucial for designing effective and accessible technologies across diverse domains, from assistive technologies and robotics to AI-powered tools in education and healthcare, ultimately shaping the successful integration of technology into everyday life.