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People often rank and order data items as a vital part of making decisions. Multi-attribute ranking systems are a common tool used to make such data-driven decisions. These systems are often table-based tools that can produce rankings based on numerical weights that a user assigns to each attribute, where the weight represents how important the user believes an attribute is to their decision. These systems assume that users are able to quantify their conceptual understanding of how important particular attributes are; however, this is not always the case.
With nearly four billion people still lacking access to the internet, efforts to expand internet access are growing rapidly across the world. Cuba remains one of few emerging nations where this access is still affected by historical trade embargoes and restrictions. Since the 2014 announcement of the normalization of relations between Cuba and the U.S., however, internet access in Cuba is increasing. This work is situated during this time of transition to explore the impacts of increasing internet access on individuals and communities living in Havana.
The Quixote system is an artificial intelligence technique for teaching robots and artificial virtual agents how to do things by telling them stories. Stories present a natural means of communicating complicated, tacit procedural knowledge. Quixote thus reads in natural language stories and learns to emulate the behaviors of the characters in the stories. The long term goal of the project is to make AI programming accessible to non-programmers and non-AI experts. We have also shown that stories can be an effective means of demonstrating ethical behavior to robots and AIs.

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App Lab

Built for Success

A mobile computing "hackerspace."
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Location: TSRB 333

 
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GVU Prototyping Lab

From Concept to Creation

A rapid prototyping "makerspace."
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Location: TSRB Basement

 
Usability Lab

Usability Lab

Testing Methods and Technology

An adaptable project testing space.

Location: TSRB 216