-
Research
- Experts
In The News
View All
MSN features Dr. Brian Dixon
Brian Dixon, PhD, MPA, was featured on MSN about a...
Influence
View All
Is the Multitarget Stool DNA Test Just a Better “FIT” for Colorectal Cancer Screening?
Published in the journal JAMA Internal Medicine. Here is a...
- Opportunities
- Experts
Philip Adeoye
RDS - Regenstrief Data Services,Regenstrief UX designer puts himself in users’ shoes
Philip Adeoye, MSc, is a UX Designer at Regenstrief Institute. He plays a pivotal role in several studies in the Indiana University Center for Aging Research at Regenstrief designed to improve the health and wellbeing of older adults.
When Philip designs new apps, websites, processes and more, he is driven by the needs of the end users. He conducts observations and interviews — among many other design methods — and even acts as a participant to gain a greater understanding of the contexts in which people are (or will be) using the tools.
“The goal is to create something that fits into the person’s life, whether they are a research participant, a researcher or a care provider,” said Philip. “I work with the users to create something that actually works for them, not something that I think will work for them.” Whether it’s wearing a continuous glucose monitor or surveying a bedroom to install sleep sensors, Philip takes the extra steps to understand the point of view of those who will be using his creations.
Philip developed the MINDSpeed app, which is part of a study combining a special diet with brain games to evaluate the impact of both on a person’s cognition. In addition to measuring brain health, the study team is also looking at how people engage with the app to gain insight that could be applied to other use cases.
A few of the other projects Philip works on include APP-ME, which provides targeted messaging for health behaviors, BrainSafe, which helps educate older adults about their exposure to anticholinergics, and Alz Sensors, which seeks to elucidate design criteria for several sensing devices to monitor and predict Alzheimer’s progression.
Philip Adeoye earned his bachelor’s degree in computer engineering from Harding University and his master of science in human-computer interaction from IU Indianapolis.