OrcaLearn

When Orcasound users, who could be defined as the Concerned Citizen Scientist persona, listen to hydrophones in the listening web app and are best suited to tag SRKW calls during listening events. These tagged calls are then authenticated by SRKW call experts, and in time by artificial intelligence using machine learning. Correctly tagged archived calls can be provided to the AI during the machine learning process to automate the tagging of calls, as well as the identification of a listening event for automatic notification to users to listen. 

Orcasound stakeholders have requested that an interface be designed to train Orcasound users how to correctly identify SRKW calls. This interface is known as OrcaLearn.

Historically, the main website (orcasound.net) has presented educational content and links in a “Learn” content page. The redesign of the main website included an updated “Learn” content page but will be replaced by the OrcaLearn web app when it is researched, designed, and developed by Orcasound software engineer volunteers.

If you would like to volunteer on the OrcaLearn team, please post a message in the Slack channel linked below.

Project brief: Orcasound OrcaLearn UX Project Brief

Slack channel: #ux-orcalearn

Project folder: PROJECT: Orcasound OrcaLearn

GitHub project: UX Work- Orcasound OrcaLearn