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Camp Cura ⛺️

An active project I am working on as an Experience Designer in conjuncture with the Texas Immersive Institute and The University of Texas School of Nursing.

Background Information

Role: Experience Designer
Project Status: Active

Softwares Used: Figma, GPT-3 AI, Unity

Asthma is the leading chronic health condition among adolescents and young adults. Impositions posed by the chronic condition can make the lives of young people aged 16 to 20 difficult as they transition to adulthood and are needing to be more self-sufficient.

Our goal with this project is to develop an mHealth application that utilizes artificial intelligence (AI) to create peer-to-peer interaction as it pertains to asthma self-management. We are developing a mobile application to explore the impacts of an AI-based virtual friend with a user's self-management of asthma or development of self-efficacy.

The Work

For the Camp Cura project, I have been working as an experience designer. I have been helping the team to lead efforts on experience design flows, interaction design, as well as helping drive the narrative creation. Furthermore, I have been leading the GPT-3 language modeling, testing and training. 


I have acquired the skills to train an AI to establish connections with end users. Leveraging this technology, I have learned how to create and maintain the organization of a comprehensive set of variables and data for GPT-3's use. I also have developed my ability to communicate information to developers. I have also had the opportunity to lead testing efforts and to lead the creation of narrative architecture and strategize interaction touchpoints. 

We are working closely with an game developer to develop the app in Unity and utilizing GPT3 language modeling for the application.

Camp Cura is a skill building program developing asthma self-efficacy.

User Experience Flow overview.

Figma link can be accessed here.

One of the unique functions of the experience we incorporated on the backend for the GPT-3 integration was utilizing a finite-state machine. Using this, we created a number of character states in which the virtual friend adapts to based on different contexts and situations. I spearheaded the flow of this process (shown above) and how the various character states would be activated at a given time within the experience.

Team Credits

Current Team Credits:

Hyekyun Ree - Researcher and Professor at UT School of Nursing

Erin Reilly - Professor and Director of Texas Immersive Institute

Arianna Ortiz - Art Director

Melody Geiger - Game Designer

Madison Phelan - Project Manager​​

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