Data Scavenger Hunt
Visitors engage in a data-collection scavenger hunt around the museum where they collect and label images of certain items. Results are displayed on a large screen or wall projection, and other visitors can use a nearby interface to edit and curate the dataset for accuracy. Visitors can the test and evaluate a classification algorithm that uses the collected data as training input. In the example above, visitors collect images of clocks around the museum.
Competencies: learning from data; ML steps; humans role in AI; critically interpreting data
Design Considerations: contextualizing data; explainability; social interaction; embodied interaction