LUX

Smart Shade System

Team of 3
Andrew Shiau
Olivia Harold
Will Wang
My role 
UX Researcher
UI/UX Designer
Industrial Designer
Tools
Photoshop, Illustrator
Sketch, InVision, Framer
Solidworks, KeyShot
Time
Sep 2017 - Dec 2017
3 Months
Challenges
10 Solved

How might we improve city life for night-shift workers by improving sleep quality?

Lux is a smart shade system integrated with mobile app and voice assistant to improve sleep circadian and reduce stress for night-shift workers by simulating natural ambient light and reducing noise.

How might we improve city life
for atypical workers
by improving sleep quality?

Lux is a smart shade system integrated with mobile app and voice assistant to improve sleep circadian and reduce stress for atypical workers by simulating natural ambient light and reducing noise.

Scheduling
Shade functions flexibly based on sleep schedule
Bedtime transition
Relaxing light reduces stress and helps sleep
Wakeup transition
Energizing light motivates wakeup and activities
Remote control
Customizable shade behavior
for different situations
Voice assistant
Controlling
shade in
hands-free
" Lux, close the shade. "
wake me up at 7pm today.
play rain sound for sleep.
how’s the weather today?

How did we get there?

Process overview
Research
Problem setting
Secondary research
Primary research
Synthesis
Ideation & Evaluation
Storyboard
Concepts
User testing
Final concept
Design
User journey
Information architecture
UI guideline/specifications
Wireframe
Interaction model
Conversational UI
Form factor
3D Model
Evaluation
Usability testing
Refinement
Future direction
Takeaways
Project reflection
Research
Problem setting
Secondary research
Primary research
Synthesis
Ideation & Evaluation
Storyboard
Concepts
User testing
Final concept
Design
User journey 
Information architecture
UI guideline
Wireframe
Interaction model
Conversational UI
Form factor
3D Model
Evaluation
Usability testing
Refinement
Future direction
Takeaways

Research

Problem setting
Our topic was assigned to how to make the city smarter. Through the initial research, we found out social interaction plays a significant role in city’s development. More importantly, there is an emerging phenomenon that the evolution of technologies which contribute to the smart city can potentially lead to weak social interaction. So our initial focus landed on making cities smarter through enhancing social interaction among citizens.
We dived into the factors that affecting social interaction among individuals. The further research showed the city environment is stressful for its citizens, potentially causing behavior change, and higher rates of mental illness have been observed in city dwellers. Furthermore, those factors would have amplified their effect on 5.5% of the population in the U.S. who work in night shift schedules. We decided to target at this under-investigated population, night-shift workers, which would be more challenging for us but the design solution could be inclusive and extended to a larger population. To get a deeper understanding of the social interaction issues that atypical workers facing, we planned to collect the insight of our target group.
Challenge 1
How to get insights from the target group innocuously and sufficiently?
We realized the traditional way of on-street survey has less response rate and less detailed responses. So we decided to built an attractive robot-like survey box in the public space, in order to collect responses from people more innocuously and anonymously.
We placed the box outside of two entrances of the Capitol Hill light rail station, which are considered to have enough people passing by. We set the box from 7am-10am and 8pm-12am to fit the time schedule for most of the night-shift workers.
The box includes pens, plenty of blank cards which allows people to share their thoughts freely and sufficiently without any constraints.
We also prepared cards with fun facts as an incentive for people.
Insights
What we found?
Next: Pilltender