Trust and Clarity Evidence Lab¶
Run the Trust and Clarity Evidence Lab MicroSim Fullscreen
About This MicroSim¶
Justify trust and clarity ratings using anchored dimensions, supporting evidence, confidence, persona context, and noncompensatory concerns.
How to Use¶
Explore the visual elements and use the controls to compare states, reveal guidance, and explain how the displayed evidence supports or limits a decision. Values shown are instructional examples unless the chapter identifies an empirical source.
Iframe Embed Code¶
<iframe src="https://dmccreary.github.io/ai-persona-testing/sims/trust-clarity-evidence/main.html" height="702" width="100%" scrolling="no"></iframe>
Lesson Plan¶
Learning Objective¶
Justify trust and clarity ratings using anchored dimensions, supporting evidence, confidence, persona context, and noncompensatory concerns.
Activity¶
- Predict what the first interaction will reveal.
- Explore each state and cite visible evidence.
- Apply the model to a new marketing scenario and identify its limits.
Assessment¶
Learners should perform the Create task in the objective and distinguish synthetic output from externally validated evidence.
References¶
- Chapter source - Full instructional context and specification.
- p5.js documentation - Rendering-library reference.