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Trey's Toys, A Series of Behavioral Analysis Toys
Individual games that test and record play preferences
Report that information to the parents & pediatricians
Test key indicators of ASD to obtain objective information about the child's behavior
Project Brief
Design a product in collaboration with grad and undergrad students at the Massachusetts Institute of Technology (MIT).
Time Period: 3 Months
Team
Jordan Tappa
Anh Vu
Mansi Kapoor
Jamison Soybel
Tyler Eggleston
Nicholas Glaser
Jessica Mulvihill
Eduardo Bohrer
Manav Kedia
Problem
ASD can be reliably detected as early as age 2 but the average age of detection is 4 years old, thus leaving many children unsupported during the critical years of early childhood development.
Mission Statment
Our mission is to assist in earlier detection of ASD with an affordable, accurate and accessible product that ultimately facilitates early intervention and support.
Timeline
Lack of behavioral history and inaccuracies from parent observation causes the delay of ASD diagnosis.
User Research & Need Analysis
Better informing the parents, we create better advocates for the child and help quicken the diagnosis process.
The toy interests the child so that he/she plays with it.
The toy helps the parent in ways they are comfortable.
The toy helps the physician and expedites the diagnosis process.
Existing Solution
Current diagnosis tools are largely observational, including questionnaires, checklists, and pediatrician observation. Therapy toys exist, but toys for diagnosis are generally selected from pre-existing options that do not directly measure child input or provide feedback to parents or practitioners.
Concept Development
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Final Prototype
A stimuli toy screening for pattern, color, and sound preferences
Children exhibiting signs of ASD are expected to gravitate toward calming colors such as green and brown. These two buttons are set to play a repeating cyclical pattern in the lights with no sound, because children on the spectrum tend to gravitate toward repetition and silence. The red and yellow buttons play sound and the lights are at random.
User Interface Design
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Around 90% of children with ASD also have a hyper/hypo-sensitivity
Repetition w/o Sound
Repetition w/ Sound
Random w/o Sound
Random w/ Sound
-Consistency
-Low stimuli
Very interesting to ASD kids
Disinteresting to Neurotypical kids
-Consistency
-High stimuli
Somewhat interesting to ASD kids
-Chaotic
-High Stimuli
Very interesting to Neurotypical kids
Disinteresting to ASD kids
-Chaotic
-Low Stimuli
Somewhat interesting to Neurotypical kids
Final User Interface
Baby Profile
The profile will show the parent an overview of their child's progress using the toy. This will help the parent stay on track and make sure they have enough information to send to the pediatrician.
Toy Status
Parents can first see a brief overview of the play sessions with a more in depth breakdown on the second page. To support the data, a series of Social Log questions are prompted to the parent while they’re using the app.
Helpful Tips
The tips feature is more resources and videos to help ensure better involvement in milestones of their baby.
User Testing: Parent Feedback
“He seems to be enjoying this. He loves shapes and colors, those are his favorite kinds of toys.”
“We like the data analytics feature of the toy.”
“The toy is a little too big for her, and the buttons should be easier and softer for her to press.”
“I generally play with them to keep them engaged, and teach them about the shapes, colors and alphabets.”
User Testing: Pediatricain Feedback
Dr. Katie Woody
Clinic Director of Autism Intervention Milwaukee
“...evaluation of this would be interesting. If such a study yielded meaningful results – then sure, I would be curious regarding results with this product as I evaluate a child.”
Dr. Stephanie Stevens
Pediatric Specialist M.D.
“If you make this… and it allows me to measurably compare a child’s behavior to those of a baseline of children with and without ASD, I want one in my office!”
Sales and Distribution Model
Beta Testing (6-months)
Goal:
Refine the algorithm to assist current diagnostic tools
How:
Clinical study with 500 families across the US
Beta Testing (6-months)
Customer / Marketing Target:
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Suspicious parents
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Pediatrician(for offices and referral)
Sales / Distribution Model :
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Module/Bundle: Direct-to-consumer through online retailers such as Amazon
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Bundle: Direct-to-physician for offices
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Purchase of a module includes access to online application
Share-the-love program:
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Returned modules will be shipped to Autism support initiatives
Financial and Pricing Model
Next Steps
Expanding product line to post-diagnosis ASD treatment toys
Use existing relationships with parents & doctors to extend the use of our toys to older ages
Add premium features to freemium app, capitalizing on existing user base of parents of children with ASD
Autism Spectrum Disorder is just one of many behavioral disorders and one of many conditions that is diagnosed using relatively subjective, observational techniques. Trey’s Toys is excited to multiply its positive impact on the lives of children by expanding its line of screening toys to other behavioral disorders and difficult-to-diagnose conditions in the future, leveraging quantitative behavior analysis through machine learning models as a central technology to the line of products.
