Abstract
A computing system proactively suggests activities to a user while an AI agent performs a task. An activity list is generated based on user-specific behavioral data and historical metrics. An estimate is made of the expected duration of the task, and the activity list is filtered to identify a subset of options that match the estimated duration. A contextual filter can be applied based on the subject matter of the task, prioritizing topically related activities or selecting disparate activities to provide a mental break. The selected activity is presented to the user, filling the latency period and enhancing user engagement.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Azose, Benjamin Albert and Azose, Jonathan Jerome, "Suggesting An Activity While Waiting for An AI Agent", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10071