Lucent: a smart mirror that utilizes artificial intelligence


Fall 2017

Concept/ UX Design

Kevin Gao, Hee Jung Koh, Ashley Wang

User Research, Concept Development, Storyboarding, Motion Graphics




Everyone in the United States has the ability to access their health records and technology such as Apple Health or FitBit to collect health data. However, many do not understand how to access their electronic health records (EHR) and understand the data collected from various devices. 

Our explanatory research indicated that many people are not aware of the power of personal health data because they do not have easy access to the data and lack time to understand the available ones





We interviewed students and working adults and did secondary research on electronic health records and health technology. We found:

  • People are aware of the available health data from various apps, but don't make an effort to use it

  • Individuals with busy schedules are only conscious of their health needs when they are sick

  • Accessing one's EHR is a process full of pain points that takes months because of regulations and privacy issues


We also talked with Andi Saptono, a PHD in health sciences at the University of Pittsburgh, and found that wearables were not as useful to those who didn't understand how to utilize the information given.

Therefore, given the difficulty of aggregating personal health info and people's reluctance to understand data, how do we get an everyday person to make use of their data in a meaningful way? We decided on a solution that seamlessly integrate into user's lifestyle and enable users to learn their health conditions with minimal effort


Concept Stage

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. The bathroom mirror is an object that almost every individual uses in the morning or at night. We chose to intervene at this point because it seamlessly integrates into a user's lifestyle.


How Lucent Works

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.



Step 1

Using facial recognition, Lucent analyzes the user's health conditions. With the built in privacy features, Lucent can distinguish between a returning user versus a first time user.


Step 2

Lucent records basic vitals including body temperature, heart rate, and hours of sleep. It stores this information in the cloud for future use.


Step 3

Lastly, more detailed information can be retrieved by tapping on the screen. Lucent compares current health data with previous saved data and provides quality information to help the user maintain a healthy lifestyle. 


Web App

Lucent allows transfer of data from the mirror to either a tablet or the web platform. Users can analyze specific data collected by Lucent such as vitals and illnesses and track their health progress over a period of time. The web app also shows different predictions to help the user prevent future conditions by taking actions early. This becomes a platform where users can set their own goals, look at recommended steps to improve, and make accurate decisions to benefit their longevity.





The unique physical characteristics of each individual is processed to ensure privacy and security.


Artificial Intelligence

Utilizing Machine learning, Lucent learns the living habits and average health conditions of each individual over time through the daily health data collected. This aims to help prevent future diseases through early detection.


Facial Recognition

Lucent utilizes facial recognition to protect health data security for registered users. More importantly, facial recognition is now used in disease detection, which is applied in Lucent to help notify users any abnormal health symptoms.



Philips @ CES 2018

Philips @ CES 2018



Artificial Intelligence is no doubt powerful, yet algorithms do not automatically create better societal outcomes. Therefore, based on the our design process for this project and the readings, we believe that Human-centered Design should bridge AI and humanity. In our design, the massive amount of personalized health data available is only made valuable when people understand and make use of them with the assistance of our AI-powered product. 

Without Design, the power of data and AI cannot be efficiently utilized to solve existing problems in our society. The empathetic and creative natures of Design counterbalance the shortcomings of Artificial Intelligence for us to make the most out of technologies.