Voice UI Experience Design | Class Project
"I wish my Keurig wasn't such an enabler. It's too easy to drink too much caffeine."
This was a comment from a coffee-loving friend who was frustrated that her Keurig always provided quick and easy coffee and never told her no. Which got me thinking...
What if working machines had a sense of judgement? What if they could gauge whether performing the requested task is or isn't in the user’s best interests, based on what the user says or the user’s behavior?
The average American consumes over 3 cups of coffee a day - and over consumption can lead to anxiety, tremors, restlessness, and so much more. This project explores how a Keurig might regulate caffeine intake by reacting to emotional and health cues from the user.
“I need a cup of coffee.”
“Coffee, tall, extra hot.”
“Give me a coffee.”
“A tall coffee.”
“A cup of joe!”
“Can I get a coffee?”
“I need caffeine.”
“I’d love a coffee please.”
To consume coffee safely
Because the Keurig is a personal coffee machine located at home, it is very familiar with the user’s coffee drinking patterns and preferences such as size and brand.
Through the first few weeks of use, the Keurig notices if the user strongly prefers a particular order and will inquire if the user would like to make this their usual.
The Keurig also has a decaf option that the user sets during onboarding.
This particular Keurig model is marketed as a machine that helps regulate caffeine intake - so the target user is someone who wants help in preventing bad caffeine habits.