Collaboration tools typically utilize many manual settings or 'knobs', but often lack an ability to learn what features, settings, etc. may be important to a user, in general. Optimization of individual collaboration tools has been studied; however, such studies are typically focused on making an individual tool more efficient. In contrast, this proposal provides techniques for optimizing collaboration tool notifications based on user habits, real-time context, and behavior in a manner that is not 'just' based on the way in which a user utilizes a particular collaboration tool.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.