thumb_nova

OVERVIEW

Nova is a voice-based assistant that makes choosing an outfit easier for people of varying visual ability.

The goal of this project was to uncover the difficulties of completing an everyday task and to make the process easier, with accessibility in mind. We designed for the task of choosing an outfit, including people who are blind as a part of our user group.

Timeline
Mar 2018 – June 2018

TIMELINE
Mar 2018 – June 2018

 TIMELINE
Mar 2018 – June 2018

TIMELINE   Mar 2018 – Jun 2018

TIMELINE   Mar 2018 – June 2018

Class
Visual Storytelling
(DES 215)

CLASS
Visual Storytelling (DES 215)

CLASS
Visual Storytelling (DES 215)

CLASS   Visual Storytelling (DES 215)

CLASS  Visual Storytelling (DES 215)

Team
Ariel Chan,
Alyssa Collister

TEAM
Ariel Chan, 
Alyssa Collister

TEAM
Ariel Chan,
Alyssa Colister

TEAM   Ariel Chan, Alyssa Collister

TEAM   Ariel Chan, Alyssa Collister

PROBLEM

The main problem we addressed in our solution is that making decisions about choosing an outfit in the morning can be complicated, requiring the comparison of several factors about weather and style. As a result, the process of choosing the right outfit is very iterative, leading to time inefficiency and stress. For those who are blind, matching clothing is even more difficult.

hero image.edit

SOLUTION

The design concept we created is Nova, a device installed in a person’s closet that uses camera scanning and conversational audio feedback to make the process of choosing a matching and weather-appropriate outfit easier. Nova seamlessly integrates information and advice about weather and style into the process of getting dressed, for people of varying visual abilities.

CONTRIBUTION

User research
Conceptual development
Content editing

Prototyping
Motion graphics

activate.1

OBSERVATION

We observed 3 college students going through the process of choosing an outfit in the morning. Afterwards, we interviewed them to learn more about why they made their decisions and about their daily experience with choosing clothing.

research.crop

SECONDARY
RESEARCH

When challenged to think about accessibility in our design, we learned more about how people who are blind or color-blind get dressed in the morning by watching Youtube videos and reading articles.

secondary research.1 edit
secondary research.2 edit

IDEATION

During out ideation stage, we tried to come up with a large range of possible solutions from new products, such as smart hangers, to more systematic solutions, such as monthly subscription boxes of pre-matched outfits. 

ideation.edit
idea 1
idea 3
idea 2
idea 5

CONCEPT SKETCHING

After talking through and narrowing down ideas, we sketched out our final concept, an audio-based closet installation with a camera and slider cover to assist with making outfit recommendations.

final concept

PROTOTYPING

We prototyped simple interfaces with an overview of the day that can be expanded for more detail. Overall, we minimized the visual experience to make the interaction more equal for people with differing levels of visual ability. Additionally, what is on the interface can easily be read out loud.

prototyping

ANIMATION

I created the animations for our video in After Effects. This gave us the chance to visualize the user interaction with Nova and the camera cover as an important measure of privacy, and also how the interaction is initiated and ended.

activate.1
deactivate.2

CONCEPT VIDEO

Below is our video prototype, where we focused on visualizing the user experience with Nova through a narrative and animations.

REFLECTION 

This project has opened my eyes to think about accessibility when designing. What’s difficult for people who have no disabilities can be even more difficult for people who do have disabilities, even for simple, everyday tasks. As a designer, it's important to recognize that we have the ability to be more inclusive.

Here are some things we would've done differently if given more time:

  • Research with a broader range of participants
  • Talk directly with people who have visual impairments
  • User testing with people of varying visual ability, asking specifically about feeling of privacy and the conversational language

 

Thanks for reading!