Conceptos Básicos
The author explores the enabling architecture of learning robots to clarify misconceptions and improve user interaction.
Resumen
The content delves into the importance of understanding the architecture of learning robots to enhance user experience. It discusses how users' mental models impact interactions and highlights the significance of explaining complex systems in a simplified manner. The study involves experts and lay users to identify misunderstandings and missing information, aiming to bridge the gap between technical knowledge and user understanding.
Estadísticas
"Research highlight 1 : Researching the Applicability of Didactic Re-construction to XAI in HRI."
"Research highlight 2: Four-step model to identify an enabling architecture and a corresponding explanandum."
"Research highlight 3: Application of this approach to identify an enabling architecture to an example."