Kevin Gao
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Lucent

Concept/ UX Design

Lucent is a smart mirror that utilizes artificial intelligence to assist individuals to understand their health conditions effortlessly.

My Role

My Role

I was responsible for the user research, concept design, and demo video of our final product. I worked with one product designer and one interaction designer who focused on user research and concept mapping.

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Challenge

Challenge

Electronic Health Records (EHR) is a term that describes the medical history of an individual. EHR is extremely difficult to access in the United States and makes the process of health and wellness to be increasingly inefficient for individuals and their families. There are too many non-user friendly steps between the user and EHR which makes health data and health history hard to understand.

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Current vs Ideal State

Current vs Ideal State

We looked at the current situation with EHR and health records and found out that the process to acquire this information is tedious and not user friendly. There are too many pain points that require the user to spend an insane amount of time and commitment for information that is rightfully theirs. Our ideal state shows a system that passively records the user's data and health records so it is easily accessible and can be utilized to help the user live a healthier life. This minimizes the number of pain points a user has to encounter throughout this process.

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Wearables

Wearables

Wearables that show biometrics and other data sets such as Apple Watch and FitBit offer a number of important statistics that are useful to a health conscious user. We learned from Andi Saptono, a PHD in telehealth, that wearables are useful only if the user understands how to utilize the product. A problem we found was that these products that offer health data are not fully functional and belong to those very conscious about their health. How do we get an everyday person to care about their health and offer them data that is meaningful? We stray away from wearables and look for something that can be seamlessly integrated in a user's lifestyle.

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Opportunity Gap

Opportunity Gap

Current trends in technology such as facial recognition and machine learning inspired us to implement an AI bathroom mirror that aids in the understanding of user's health data. Over time the mirror would learn more about it's users through machine learning and comparing the individual's health data to a database of other user conditions.

Short term functions focus on the user’s vitals. Minor illnesses can be countered with helpful tips learned from Lucent from other databases and the user's health patterns.

Long term functions such as cloud data collection for preventative measures focus more on retaining the habits of self care and aim to shift the user’s paradigm of personal health recording.

With the trends and the gap between individuals, families, and their medical data, a smart mirror with the capabilities of both short and long term impact can create a society that is more health conscious.

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Lucent Demo Video

Reflection

Reflection

Our focus is to use AI and Design to make the health process seamlessly integrated into people’s lives so that those who are busy can still be on top of their own health data. Throughout this project, we have realized that our solution Lucent may just be the first step in getting people to truly care about their own health data and records.

We had some challenges finding a point of entry to design. For example, our initial attempt was to use AI to facilitate EHR as a starting point to enhance people’s understanding and usage of their health data. Yet we found out later the regulation and privacy issues regarding EHR. Similarly, a lot of our ideas utilizing AI are already existed.

The question “How can we make use of the huge amount of data available by integrating Design and AI?” has been kept in our minds throughout the process. We thought the bathroom mirror would be something that is already integrated in people’s everyday lives and could be a perfect entry point to change the way data is utilized.

Group Members

Group Members

Kevin Gao | Hee Jung Koh | Ashley Wang