Agents
Overview
Agents add a powerful layer of interactivity to your VR/AR/Web/Desktop learning experiences. These pages explain what they do and how to author them.
What can Agents do?
Powered by advanced AI (GPT-4 & Gemini Pro), agents can act as intelligent observers within your simulations, providing learners with real-time feedback and guidance.
Analyze Learner Performance: Agents can observe learner speech interactions within the simulation and provide personalized feedback based on their choices.
Deliver Dynamic Scores: Agents can assess learner performance and assign scores based on author-defined criteria.
Modify Simulation Attributes: Agents can dynamically change attributes of virtual objects in your simulation based on learner performance or choices. Imagine an agent ending a simulation early if a learner makes a critical mistake or an agent giving crucial immediate feedback for a learner performing poorly.
Who has access to Agents?
Availability of Agents depends on your HyperSkill account tier. Refer to your plan details or contact HyperSkill support for more information. You can also email info@siminsights.com to ask about getting access.
In this section
How to Author an Agent: a step-by-step tutorial that builds a scoring agent.
Edit Mode: the agent properties you can edit.
Test Mode: review a test run of an agent.
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