How might we help Type 2 Diabetes patients to make food choices while grocery shopping?
My teammate Yue and I have relatives with Type 2 Diabetes (T2D). We see their frustration and empathize with the hard time they’re having. We truly want to apply our knowledge to help them improve their health and achieve stable blood levels that make their lives easier.
Our goal is to help people who are suffering from T2D and flip the script to help them to live a healthy lifestyle.
The mobile application Brimly for T2D patients can quickly identify food options in a real time environment and choose the right food for them. This utilizes Augment Reality and computer vision technology to enhance Type 2 Diabetes’ patients (T2D) grocery shopping experience in a refreshing new way.
Collabortor: Yue Yuan from MFA Interaction Design SVA
My role: UX Designer, Interaction Designer, and Researcher
Healthy eating is one of the most important methods to effectively manage and reduce the burden of diabetes. Diet directly influences Type 2 Diabetes (T2D) patients’ blood glucose, therefore increasing their healthy lifestyles and helping them make better food choices are significant to patients’ well being.
Frustration: There are too many food choices in a grocery store. It is time-consuming for people with T2D to identify the right options while shopping.
Information Overload: There is too much conflicting information about nutrition facts on food packages. As a result, T2D patients are overwhelmed.
Boredom: T2D patients are faced with an onslaught of restrictions and major lifestyle changes from the moment they are diagnosed. They are tired of eating basic food and maybe even resentful of their prescribed diets.
Diabetic Recipe Recommendations and Wayfinding: T2D patients can discover new food options through weekly diabetic recipes recommendation. Brimly simplifies the process of thinking about what to eat and where to buy the items. It syncs a collection of recipes for diabetics and show a real-time map to direct their way at the grocery store.
Diabetic-Friendly Foods Recognition: In front of the produce section, T2D users hold the mobile app to scan. The app uses computer vision and objects recognition to show diabetic-friendly labels on healthy food items.
Food Comparison: T2D users can readily find out which food item works best for them based on the key information that they most care about after selecting multiple food items for comparison.