Projects

Problem Statement: First Responders struggle more with mental health than the average group due to compound stress. The Process: Initial Research, Ride-alongs, Affinity Mapping, Mock-ups, Codesign, Storyboards, prototypes, user validation and iterations. The Solution: Conversational AI to improve mental health

Our goal is to learn whether social media analysis can support mental health clinicians to assess their patients. We developed a medium fidelity prototype of a social media augmented assessment tool. We are conducting user studies with clinicians in which they explore the tool and provide their own opinions, such as whether they could see medical value in it, whether they could understand the system without a problem, and whether they would like to incorporate the system into their work practices.

We design, deploy, and evaluate mobile health tools that support and meet patients needs over time from diagnosis of a chronic disease, through treatment and into survivorship. Our research explores the ability for personalized, adaptable, mobile tools to support patients over the course of their individual breast cancer journeys.

In this project, we aim to design dashboards for campus stakeholders, such as campus administrators and on-campus clinicians, which present college students' self-tracking and social media data.

The field of Human-Computer Interaction has long engaged in creating and studying online tools that serve as information resources. However, few studies explore how people, particularly underserved populations, find these tools. This study examines the role that online search plays in the access to online information resources using access to online Computer Science (CS) education as a case study. First, we conduct a survey with U.S. parents to identify terms used to search for online CS education. Second, we look at the search results for those terms.

How can social computing technologies effectively support the value of inclusivity in grassroots organizing?

Exploring Human - Computer Interactions in a fully autonomous vehicle by studying human-driver and passenger interactions in ride sharing service automobiles.

This project aimed to help self-driving vehicle drivers understand how the automation works in different driving conditions. Investment in educational resources can encourage the appropriate use of automated vehicle systems, and thus create a safe driving culture and environment. Instruction method and training content were investigated in this study. In-car interactive instructions were constructed to provide knowledge on underlying principles and feature usage.

What are the most relevant HCI principles to design a context aware HMI for passengers in a self-driving vehicle?

This project centers the goals, needs and expectations of older adult user aging in place in the design of explanations in assistive AI systems. This is done through the operationalization of a design framework that broadly categorizes the information sources present in a home environment and highlights opportunities for AI systems to leverage data from those sources to generate more personalized and usable explanations for users.

Like traditional media, social media in China is subject to censorship. However, in limited cases, activists have employed homophones of censored keywords to avoid detection by keyword matching algorithms. This project focusses on designing an interactive, client-side tool that promotes free speech. An iterative design process, involving the inputs of end-users will deliver a final design. In the evaluation of the design we will target the following research question: Does the UI workflow fit into context of use of the users?

Students solved these problems in design[ED] Lab (Design Education Lab), a user experience workshop that introduced teenagers and pre-professional adults to design-thinking, to encourage problem solving and critical thinking skill development. This workshop was in partnership with The Bridge Academy (College Park, GA), a full-time High School Diploma and GED Prep program offering a nontraditional path for students.

Detecting EEG in the ear

This project explores an approach to support distributed social media tracking initiatives within low-resource language contexts. Specifically, it seeks to understand the dynamics of users who spread inflammatory content online within the context of the Ethiopian civil conflict.