Uncategorized Lauren Slowik Uncategorized Lauren Slowik

DREAMers Toy - Data Toys

 
The pre-designed toy shapes are distributed in cut and sew patterns digitally. They are then assembled onsite as an activity for the players.

The pre-designed toy shapes are distributed in cut and sew patterns digitally. They are then assembled onsite as an activity for the players.

The mobile app has been preprogrammed to recognize unique shapes of the toys and allow the user to assign values to the shapes.

The mobile app has been preprogrammed to recognize unique shapes of the toys and allow the user to assign values to the shapes.

The user creates a story about the character they have created

The user creates a story about the character they have created

A second phase of the game would then draw upon machine learning data and designer-created interactions to create frameworks to act out scenarios that DREAMers might encounter.

A second phase of the game would then draw upon machine learning data and designer-created interactions to create frameworks to act out scenarios that DREAMers might encounter.

 

A collaboration project to work out generating experiential learning from toys instead of static or screen-based data visualizations. More information at petlab.parsons.edu/datatoys

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