Rightmodet
Rightmodet is a theoretical framework in human–computer interaction and artificial intelligence that describes how a system can align its behavior with a user's current goal by selecting the most appropriate mode of operation. The core idea is to infer user intent from context and actions and to switch between modes—such as advisory, assistive, autonomous, or manual—in a way that remains transparent and reversible.
The term emerged in discussions about mixed-initiative control in the early 2020s and has been used by
Core principles include intent inference from input signals and environmental context, a clear taxonomy of modes
Applications are envisioned in consumer software to reduce cognitive load, in collaborative robots and vehicles to
Critics warn that mode switching can introduce confusion if modes are not clearly defined or consistently
See also: human-in-the-loop, mode confusion, adaptive user interfaces.