Segregate recyclable items from waste and learn by interacting using AI(Computer vison) + Augmented reality?
Integration:
X
It's worth 7min...
I promised myself to keep
your time productive with
this case study.
Phase-1
Phase-2
X
3 Months
1 month
3 Members
2 Members
My Role: Product Designer
My Role: Product Designer
Majorly - Primary research, Ideation, Prototyping and UI Design
End to end - Research, Ideate, prototype
and Design
Tools used:
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Tools used:
+
Figma
Balsamiq
Figma
Adobe Aero
Sneak-peak to final problem and solution
Problem statement: How to segregate recyclable items from waste and learn by interacting?
Solution:
+
2
Interactive based learning
Computer Vision (AI)
Augmented Reality
Using computer vision (AI) to detect the object/material and Augmented reality to display content to learn more.
1
Waste segregation
Using computer vision (AI) to detect the object/material and Augmented reality to highlight and help to complete the task.
Design process
Phase-1
To understand problem
Conducted Observations
Unstructured Interviews
Key Insights:
1. Lack of knowledge makes it hard to segregate
2. Impact of their actions is unknown
3. Unclear instructions near the trash bins
4. People lack motivation since others around them are not motivated.
To learn from people
Challenges?
Protocol preparation
Structured Interviews
Narrowed down to
Indiana univeristy
Wants & Needs?
Solutions
Motivators?
Knowledge test
Behavior?
Key Insights:
2/8 people
who are undergrad and graduate students were interviewed by me
3 People
expressed confusion about how to properly dispose of waste, and frustration with unclear instructions.
5 People
of the interviewees highlighted unawareness of recycling impact.
I have been here in Indianapolis all my life, but I am still not sure about what goes where
To learn problem in broad
Secondary research
Research has found that 94% of Americans support recycling and 74% say it should be a top priority. But only about 35% of people actually recycle. The leading reason behind this poor percentage value is the Americans’ lack of knowledge and awareness. According to NYPost, “more than half of Americans are not very sure of what to recycle. In a survey including around 2000 Americans, 62% of the people think that due to their lack of knowledge, they are recycling incorrectly”.
Only
62%
say they always recycle a recyclable item
About
53%
believe greasy pizza boxes can be recycled
About
68%
believe used plastic utensils can be recycled
To define the problems
Affinity mapping
Empathy mapping
The Affinity Mapping technique was utilized to collect and organize insights from interviews, observations, and research, providing a comprehensive view of the issue and enabling the formulation of a problem statement. This facilitated the identification of relationships and patterns within the data.
To understand and empathize with our user group before creating a user persona, Empathy Map was used which helped to prioritize the user needs. The data from the real users is collated to create a user persona later.
The Affinity Mapping technique was utilized to collect and organize insights from interviews, observations, and research, providing a comprehensive view of the issue and enabling the formulation of a problem statement. This facilitated the identification of relationships and patterns within the data.
User persona
Defining initial problem statement
User Awareness
confusion around what kind of trash goes where
User Motivation
behavioral inconsistency and lack of motivation to create great impact.
Problem statement
How might we design for busy university students to eliminate their confusion and encourage them to recycle properly and consistently, while taking into account their need for convenience?
Ideating potential solutions
Initial solutions
Redesigning the Poster
near Garbage Bins
Starting a
‘Recycling Community’
Build a Mobile app
which Informs & Assists
How to digitize community and integrate in app?
Let's understand it through scenario
1
2
Ideating on poster & Mobile app
Poster re-design
OLD
NEW
App Information architecture
To test it with users
Paper prototyping
-
Home screen
-
Item Search
-
Item Details
-
Community Member
-
Community Admin
-
Game
-
Nearest Disposal Site
-
Item Scanner
User testing
Task-1: Searching for and Scanning an item to find out whether it is recyclable or not
5/5
Success rate
20-25 Sec
Time taken
Task-3: Creating an event as an admin
2/5
Success rate
>1min
Time taken
Task-2: Joining the community and registering for an event
5/5
Success rate
20-30 Sec
Time taken
Task-4: Navigating to the nearest collection center
5/5
Success rate
15-18 Sec
Time taken
Exception for first prototype
Design prototype
Search/Scan to find the result (AI Integrated)
The floating Item Scanner button on the bottom right helps the users to easily open the application and scan the item to view the details or they can search using search bar.
1
Community feature
The Community feature has been emphasized to motivate the users to come together and get and work towards the problem collectively as a community
2
Members can be able to
-
Register to an event
-
Check statistics of the impact that the club has created.
-
vote for the upcoming events.
Nearest collection centres locator
Users can easily find nearest collection centers and navigate using google maps.
3
Interactive learning using GAME
Users can play game and understand which item goes where. If they loose in game, they will remember and learn by trial and error.
This game is designed psychologically to make users learn effectively.
4
To validate our prototype
Expert review
What is the motivation factor
to use the app?
Is it making the process efficient?
What are you doing for
user retention?
Phase-2
To extend ideation process
Re-ideation on multiple ideas
I was not happy with the previous solution. So, I took chance to re-work again on Recycle-Me
Re-defining problem statement
How to segregate recyclable items from waste and learn by interacting using AI(Computer vison) + Augmented reality?
?
?
?
+
?
Computer Vision (AI)
Augmented Reality
crazy 10's to extend our ideation process
Storyboards
1
2
Design system (elements)
Final prototype
+
2
Interactive based learning
Computer Vision (AI)
Augmented Reality
Using computer vision (AI) to detect the object/material and Augmented reality to display content to learn more.
1
Waste segregation
Using computer vision (AI) to detect the object/material and Augmented reality to highlight and help to complete the task.
Expert review
This idea is cool. Did you
made it?
Awesome! you can integrate this
to Google lens.
This is interesting! I like it. But I don't know how efficient it will be. Need to do research....
X
THANK YOU