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The Korean Wave from a Global Perspective

Description

South Korea possesses the only culture to successfully create a transnationality and hybridity formula that is not replicable. So why Korea and why now? The goal of this thesis creative project is to demonstrate the marketing and communications strategies used in the arts and culture industry to drive global awareness…

South Korea possesses the only culture to successfully create a transnationality and hybridity formula that is not replicable. So why Korea and why now? The goal of this thesis creative project is to demonstrate the marketing and communications strategies used in the arts and culture industry to drive global awareness and interest in K-Pop. In order to achieve that goal, I created HellotoHallyu.com, a website designed for an audience of Millennials and Generation Z English speakers to increase their awareness of the growth and impact of the Korean Wave in a fun and engaging way. So those who may hear a song by K-Pop idol group BTS on a music awards show in the U.S. can get themselves up-to-speed before diving into the fast-paced world of K-culture gossip sites and forums. Hello to Hallyu delivers consumer-friendly, educational content easily understood by English speakers with no prior knowledge of Korean culture, while still piquing the interest of K-pop connoisseurs. It provides the background necessary for even the most dedicated fans to glean new knowledge of Korea's cultural industry and a new perspective on the content they consume. Hello to Hallyu is based on a combination of secondary and primary research conducted over four semesters beginning Spring 2017 and continuing through Spring 2018. This project is set up as an ever-expanding resource freely available to anyone with internet access. The research required to maintain the site will continue with the Wave. However, the content currently on the site is evergreen, a documentation of the history of the Wave as explained in peer-reviewed articles and by Dr. Ingyu Oh as well as a documentation of my personal experience with Hallyu while in Korea and as a Westerner living in the U.S. The site's goal is to demonstrate the marketing and communications strategies used in the industry to drive global awareness and interest. Through this means, Hello to Hallyu aims to provide fully developed multimedia content intended to increase English speakers' awareness of the growth and impact of the Korean Wave as shown through site visits, content views, and audience engagement.

ContributorsTravis, Lisa Anne (Author) / Hass, Mark (Thesis director) / Shewell, Justin (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / School of Film, Dance and Theatre (Contributor) / Barrett, The Honors College (Contributor)

Created2018-05

How corporations should respond to a public health or social crisis

Description

A guide to implementing empathy in crisis communications

ContributorsLong, Mary Louise (Author) / Schmidtke, Lisa (Thesis director) / Bovio, Sonia (Committee member) / Department of Marketing (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor, Contributor) / Barrett, The Honors College (Contributor)

Created2021-05

HelperBot: An Adaptive AI for Teaching Advanced Fighting Game Techniques

Description

Popular competitive fighting games such as Super Smash Brothers and Street Fighter have some of the steepest learning curves in the gaming industry. These incredibly technical games require the full attention of the player and often take years to master completely. This barrier of entry prevents newer players from enjoying…

Popular competitive fighting games such as Super Smash Brothers and Street Fighter have some of the steepest learning curves in the gaming industry. These incredibly technical games require the full attention of the player and often take years to master completely. This barrier of entry prevents newer players from enjoying the competitive social environment that such games offer, creating a rift between casual and competitive players. Learning the rules can sometimes be more difficult than playing the game itself. To truly master these concepts requires personal attention from someone who deeply understands the core mechanics that operate behind the scenes.
Meanwhile, machine learning is growing more advanced by the day. Online retailers like Amazon run complex algorithms to recommend future purchases and monitor price changes. Mobile phones use neural networks to interpret speech. GPS apps track anonymous motion data in smartphones to give real-time traffic estimates. Artificial intelligence is becoming increasingly ubiquitous because of its versatility in analyzing and solving human problems; it follows, then, that a machine could learn how to teach humans skills and techniques. HelperBot is a platform fighting game project that employs this cutting-edge learning technology to close the skill gap between novice and veteran gamers as quickly and seamlessly as possible.

ContributorsPalermo, Seth Daniel (Author) / Olson, Loren (Thesis director) / Marinelli, Donald (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)

Created2019-05

Facebook Killed the Radio Star: How Targeted Advertising and Machine Learning are Remixing Music Discovery

Description

The purpose of this thesis is to formulate a reliable promotion strategy that will help future independent artists effectively gain exposure and create an engaged and enthusiastic audience. To do this, we set out to create moments of discovery - the moment when a listener decides they have a particular…

The purpose of this thesis is to formulate a reliable promotion strategy that will help future independent artists effectively gain exposure and create an engaged and enthusiastic audience. To do this, we set out to create moments of discovery - the moment when a listener decides they have a particular affinity for an artist or song - by introducing Apollo Bravo to audiences that are most likely to enjoy what Apollo Bravo has to offer. The methodology underlying these campaigns was to present authentic and attention-grabbing content, in both brief and extended methods, to people who are most likely to enjoy Apollo Bravo.

From our research, we found that for as little as $5 a day, an independent artist can make effective introductions to audiences most likely to enjoy what they have to offer without compromising artistic expression, while also learning from and engaging with their growing audience.

ContributorsFees, Maximilian Soza (Co-author) / Kinerk, Cole (Co-author) / Patrick, Angela (Co-author) / Hass, Mark (Thesis director) / Patrick, Brad (Committee member) / Arts, Media and Engineering Sch T (Contributor) / School of Civic & Economic Thought and Leadership (Contributor) / Barrett, The Honors College (Contributor)

Created2020-12

Hatfield Final Project (Spring 2022)

Description

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…

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.

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

Created2022-05

Thesis Defense Presentation

Description

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…

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.

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

Created2022-05

Clustered Friendly Faces Data - Clusters

Description

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…

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.

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

Created2022-05

Clustered Action Data - Sheet 1

Description

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…

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.

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

Created2022-05

Clustered Surreal Images Data - Clusters

Description

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…

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.

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

Created2022-05

Clustered Unfriendly Faces Data - Full Data

Description

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…

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.

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

Created2022-05

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