Glance

Windy City Labs' Smart Mirror
Client Windy City Labs (WCL) Chicago, IL
My Role UX Designer
Date April 2016

The Challenge

Windy City Labs is currently developing a smart mirror called Glance that aims to display glanceable and usable information to its user. Our challenge was to help uncover whether or not Glance was even desirable, what problems it could potentially solve for its user, and what goals those users could accomplish.

Team

Working in a team of three, we all worked collaboratively as UX designers where we performed research, conducted interviews, synthesized data, created wireframes and prototypes, and conducted user testing.

Result

My team and I helped solve for a seamless user experience by introducing Glance with an companion app. Through research and data, we problem solved pre-existing mental models that tried to touch Glance and instead, provided alternative interactions.

Tools InVision Sketch
Deliverables User research User testing Wireframes Prototype
Platform Smart Mirror Mobile Application

Domain Research

Our team wanted to explore the current smart mirror market estimates and forecast to gauge market value and consumer demand. We also wanted to see what the current drivers, restraints, and challenges that might reflect what Glance might face.

Competitive Analysis

When comparing Glance to competitors that were already on the market, we found that most of the smart mirror displays were NOT glanceable. The interface aesthetics may prove to be a notable differentiator, providing a competitive edge for WCL.

User and SME Interviews

Users
  1. High-functioning executives
  2. High-functioning parents
  3. Tech early-adopters
  4. Baby boomers with disposable income
SME's
  1. AR/VR (Augmented Reality/Virtual Reality)
  2. Hotel industry
  3. Healthcare interior designer

The Users

Journey Map

We created a journey map to track Angelina’s cognitive load throughout the day. Through this, we saw opportunities to help the user where we saw gaps in the afternoon and clusters in the morning and evening.

We measured Angelina's journey by cognitive capacity because we learned that intake of information varies, especially in the morning. When Angela first wakes, her cognitive capacity is low, but when she's ready to receive information, her cognitive capacity becomes higher.

Insight

We uncovered from research are four different mental states that people have which affects their cognitive load. We found that this load directly correlates with the time of day, and the information people want to see at that time.

Guiding the product

Through our research, we created these design principles to help guide Glance’s product design.

#1 Glanceable

Information will be easily digestible at a quick glance, through the use of concise and communicative language.

#2 Delightful

Inspire feelings of joy through friendly and positive feedback and messaging. A simple and clean interface, with subtle animations, will be pleasing to the eye.

#3 Personalized

Cater to the user’s personal needs to improve their productivity and also inspire them.

#4 Unobtrusive

Become part of their natural home environment and not disrupt them from their daily routine.

#5 Interconnected

Facilitate information that helps the user meet their goals.

#6 Trusted

Glance is a secure platform with accurate, reliable and timely information.

Ideation

Here's what our ideation process looked like:

  1. Brainstorm features & technology
  2. Model creation where we considered authentication and interactivity.
  3. Model selection where we narrowed down the field.
  4. Brainstorm concept scenarios to explore how each model could be used.
  5. Model testing where we would test the chosen models.

User Testing

Moving forward, we wanted to determine how users engaged in customization, interactivity, integration with outside apps, and facial recognition.

Testing objectives were to identify

  1. Which authentication method is preferred
  2. Task flow usability
  3. What was considered glanceable
  4. What info users want displayed
  5. Any patterns for how users wanted information displayed
  6. Privacy concerns