WHAT WE WANTED TO DISCOVER (PROJECT GOALS)

Our primary goal was focused on translating all existing testing programs into an online, easily-accessible cloud format. To avoid large disruptions in current research and medical projects, this had to be performed in record time.

We defined the following project goals:

Goal 1. Gather information on all existing testing tasks being used in the hospitals and research facilities. Which tasks had the highest priority? Were there certain compatibility issues that needed to be accounted for?

Goal 2. Translate the code being used for in-person testing into Python. To upload to an online format, use a combination of Javascript, HTML, and CSS to provide the needed formatting and accessibility.

Goal 3. Listen to researchers and participants to gather feedback on the online task versions. Are there certain aspects that need to be adjusted with the display? Are participants able to easily perform each task regardless of operation system (e.g., PC vs MAC) or testing platform (e.g., laptop vs tablet)?

OUR PLAN FOR SUCCESS (RESEARCH STRATEGY)

Our primary goal was to have the online versions of each testing task closely resemble the original versions without sacrificing usability. To do so, we ideated designs for each task and iterated prototype versions until we reached our usability and design goals.

OUR MAIN CHALLENGE

The main challenge was time. To successfully implement the project goals, I needed to quickly learn the ropes of using Python, Javascript, and HTML.

HOW WE EXECUTED OUR STRATEGY (RESEARCH PROCESS)

We used a mixed-methods approach involving the testing tasks themselves, surveys, and interviews.

Testing Tasks

We created online versions of a variety of testing tasks for use in medical and research facilities. High priority was given to tasks used in pre- and post-operation testing.

Surveys

We administered surveys for each testing task to gather demographic and health information.

Interviews

We gathered feedback from participants and researchers on the display and usability of the online tasks. This feedback was invaluable for quickly moving the development process forward.

Analysis

The prototypes of each online task were run as part of the development process. Data analyses and visualizations helped validate the performance of each task design.

TOOLS WE USED

Tools – Prototyping, Iterating, Data Analysis, Data Visualization

THE IMPACT WE HAD

Our development and design process led to user-friendly testing even for hard-to-reach populations. Although this project came about in response to a negative event (i.e., a global pandemic), it started a new beginning for how research is currently being conducted in and outside medical and research facilities.

As of today, the results of this project directly led to over 10+ remote studies and 2 international collaborations.