One. Animated Coffee Shop Assistant

One&Double Coffeehouse Signature Glasses
One&Double logo

Voice Assistants

In "Back to the Future 2", Marty McFly visits a coffee shop where the orders are taken not by a human but by a computer. Different faces appear on his screen, voicing the menu.
We at EORA created a similar assistant for the Moscow coffee chain One&Double.

Our client wanted the bot to help visitors choose an order and entertain them.
A still from Back to the Future 2
Example of interaction with Assistant One
The assistant's name is One. He is the brand name of One & Double. He is black and looks like a coffee bean.

One greets visitors to the coffee shop by waving at them from the screen of a tablet placed near the barista's counter.
One&Double coffeehouse brand character

He knows how to

01/
Acquaint you with the menu. Suggest drinks, pastries, desserts
Answer popular questions from visitors
Keep the conversation going when it's about something simple
Take feedback and report when the subject is unknown to him
Talk about coffee shop specials
02/

What's inside

Animation

We created a "living" character with facial expressions and gestures, with only a flat image on hand.

Speech Recognition System

The assistant listens carefully to what the cafe visitor says and responds according to the script of the conversation.

Facial Recognition System

One starts talking only when he sees a person close enough.

Rita Pylaeva

Project Manager

Quote

«One is not only a smart voice assistant who 'knows' many different scenarios, but also a charismatic, colorful character.»
03/
Step 02
Сreated an animation. It brought the picture to life
Step 03
Developed first the "stuffing" and then the "shell" of the service
Step 01
Designed scripts for dialogs with the user, wrote texts
Step 04
Installed and configured the facial recognition system
Step 05
Tested the assistant
Step 06
Fully launched the service

Development process

04/
One is a program that runs in a browser. As part of a pilot project, the assistant was installed in the one coffee shop only

Development timeline

05/
4 months
January - April 2022

Tools

A service for working with speech. In this project, we used only the speech synthesis technique - from text to voice.

Yandex SpeechKit

A ready-to-use service for face detection.

MediaPipe

06/
Programs for working with animation.

Spine, Lotty

Project Team

07/
Anastasia Lisovaya
Design, Scenario and Design of a Chat-Bot
Rita Pylaeva
Project Manager
Sergey Verentsov
Teamlead, frontend developer
Alexey Zelenov
Backend developer
08/

Challenges and discoveries

Turned out to be poor psychologists

We thought that cafe visitors would actively communicate with the assistant. But visual voice assistants are new to them. People are still wary of them, they don't dare to start a conversation.

Wrong choice of hardware

We took the Samsung Tab S7 tablet because it has a bright, thin display. But it turned out that in a noisy environment the tablet's built-in microphone does not work well. Because of inaccuracies in speech recognition and the bot did not always work well.

Reconfigured the facial recognition system

At first One "saw" very far away and tried to talk to the baristas or those in line.

Interesting fact

The standard Yandex SpeechKit voice set didn't have any that fit One. We processed the voice ourselves so that it turned out to be cartoonish, boyish - just like the character's

Results

09/
We successfully launched the pilot. We are planning to replace the tablet with another device with a better microphone
The service has good prospects. The priority is to accept orders independently
Rita Pylaeva
Project Manager

Quote

Independent reception and processing of orders is a very important function. It can bring a lot of value to a business in terms of sales and reach of visitors

Application areas

10/
Coffee shops and restaurants
Multifunctional centers
Retail (grocery stores, bookstores, clothing stores)
Banks and insurance companies
Rita Pylaeva
Project Manager

Quote

«The visual voice assistant can be used in many places. Its functionality is almost universal. The assistant screen can be installed wherever there is a flow of people who need help.»

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