The phrase "attention aware" is not standard in written English and may cause confusion.
It could be used in contexts discussing awareness of attention, such as in psychology or technology.
Example: "The new app is designed to be attention aware, adapting its content based on the user's focus levels."
Alternatives: "attention-sensitive" or "awareness of attention".
However, the design of attention aware systems necessitates a deep understanding of human attentional processes, of the knowledge a system needs to support those processes, and of the manner in which such knowledge may be acquired.
We analyse current approaches to the design of attention aware systems along three major features: detection of user's current attentional state, detection and evaluation of possible alternative attentional states, strategies for focus switch or maintenance.
Research in attention aware systems, i.e. systems that support users in their attentional choices, promises to address many of the problems related to information overload, cyber collaboration, and mobility, by providing features helping users in coping with attentional limitations.
Attention aware systems attempt to apply those principles during computer-delivered experiences.
Some of the issues are general and concern the broad family of Attention Aware Systems.
This paper analyses the issues related to the design of systems capable of such support: attention aware systems.
The newest thread of collaborative research with BDD is attention-aware sensory data processing and model training.
Using an experimental research design, a treatment group exposed to an attention-aware display design was compared to a control group.
The main research questions were whether an attention-aware display design can capture the user's focus of attention and whether this has an influence on the knowledge gain.
Face ID is even attention-aware.
I learned that horses teach their riders to pay attention, be aware of their bodies, contain themselves, follow procedure and watch others.
