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Hatfield Final Project (Spring 2022)

This project explores the potential of an artificial intelligence/machine learning algorithm, K-Means to augment the connection between two individuals through a game interface. Further implementation of such technology is theorized in the form of a two-way chatbot. The role of bias is extensively reported and researched in order to remain cognizant of these new technological advancements.

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Contributors
Hatfield, Kacy (Author) / Sha, Xin (Thesis director) / Finn, Ed (Committee member) / Barrett, The Honors College (Contributor) / Arts, Media and Engineering Sch T (Contributor)
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Thesis Defense Presentation

This project explores the potential of an artificial intelligence/machine learning algorithm, K-Means to augment the connection between two individuals through a game interface. Further implementation of such technology is theorized in the form of a two-way chatbot. The role of bias is extensively reported and researched in order to remain cognizant of these new technological advancements.

Permanent Link 
Contributors
Hatfield, Kacy (Author) / Sha, Xin (Thesis director) / Finn, Ed (Committee member) / Barrett, The Honors College (Contributor) / Arts, Media and Engineering Sch T (Contributor)
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Clustered Friendly Faces Data - Clusters

This project explores the potential of an artificial intelligence/machine learning algorithm, K-Means to augment the connection between two individuals through a game interface. Further implementation of such technology is theorized in the form of a two-way chatbot. The role of bias is extensively reported and researched in order to remain cognizant of these new technological advancements.

Permanent Link 
Contributors
Hatfield, Kacy (Author) / Sha, Xin (Thesis director) / Finn, Ed (Committee member) / Barrett, The Honors College (Contributor) / Arts, Media and Engineering Sch T (Contributor)
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Clustered Action Data - Sheet 1

This project explores the potential of an artificial intelligence/machine learning algorithm, K-Means to augment the connection between two individuals through a game interface. Further implementation of such technology is theorized in the form of a two-way chatbot. The role of bias is extensively reported and researched in order to remain cognizant of these new technological advancements.

Permanent Link 
Contributors
Hatfield, Kacy (Author) / Sha, Xin (Thesis director) / Finn, Ed (Committee member) / Barrett, The Honors College (Contributor) / Arts, Media and Engineering Sch T (Contributor)
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Clustered Surreal Images Data - Clusters

This project explores the potential of an artificial intelligence/machine learning algorithm, K-Means to augment the connection between two individuals through a game interface. Further implementation of such technology is theorized in the form of a two-way chatbot. The role of bias is extensively reported and researched in order to remain cognizant of these new technological advancements.

Permanent Link 
Contributors
Hatfield, Kacy (Author) / Sha, Xin (Thesis director) / Finn, Ed (Committee member) / Barrett, The Honors College (Contributor) / Arts, Media and Engineering Sch T (Contributor)
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Clustered Unfriendly Faces Data - Full Data

This project explores the potential of an artificial intelligence/machine learning algorithm, K-Means to augment the connection between two individuals through a game interface. Further implementation of such technology is theorized in the form of a two-way chatbot. The role of bias is extensively reported and researched in order to remain cognizant of these new technological advancements.

Permanent Link 
Contributors
Hatfield, Kacy (Author) / Sha, Xin (Thesis director) / Finn, Ed (Committee member) / Barrett, The Honors College (Contributor) / Arts, Media and Engineering Sch T (Contributor)