Tessa Eagle

Tessa Eagle

PhD Candidate in Computational Media at UC Santa Cruz researching Digital Mental Health

Portfolio

An Investigation of Body Doubling

What is body doubling? It’s not cloning - it’s a task initiation and completion strategy used by neurodivergent communities. To do what? Click to find out.

Existing is better, together! A woman adjusting a piece of paper in a typewrite while another woman at a typewriter looks on. The onlooker is edited to be shown in triplicate.

Unbounded Social Media Communities for Identity Discovery

ADHD has been sensationalized by the media. ‘Everyone has it now’ and yet it remains underdiagnosed. Social media is actually providing a service to many who have gone undiagnosed their entire lives, wondering why they feel different. A different take on social media and ADHD.

Model of online health communities. Traditional OHCs: A newly diagnosed person seeks information online. They find existing communities via Google, Facebook, and Reddit. They get education, support, validation, and resources. Unbounded online health communities: An undignosed person scrolls daily on TikTok. They start seeing content about ADHD, relating to content and reframing their past experiences. They then can use the info/strategies, self-diagnose, seek formal diagnoses, and get support.

Classroom Accessibility Workbook

This project uses crowdsourced data from neurodivergent Twitter users to examine changes that could be made to higher education courses to increase accessibility. By combining user-generated suggestions with Universal Design for Learning and guidelines from accessibility orgnaizations, I develop a workbook for course staff to use as a resource to build accommodations into their class design.

Data Visualization

Repository of my participation in R for Data Science’s Tidy Tuesday community of practice. Each week, a new dataset is released for people to practice their data visualization skills and receive help and feedback from the R community. I primarily work with {ggplot2} for graphics.

Mental Health App Recommender Website

Interactive prototype designed in Figma to guide users through a set of questions in order to present them with a personalized set of recommended mental health apps

screenshot of kaizen UI displaying apps that a user may find helpful e.g., Calm, Sanvello, TalkLife, Woebot with filtering options along the side.

Machine Learning on User Reviews

This project involves identifying predatory behaviors in mental health apps using training data to generate a model for analyzing large datasets of user reviews.

Shiny Application

Stemming from a prior static data visualization, I developed an interactive Shiny web application using R to explore historical (1997-2016) government spending on children.