Slide 48
Slide 48 text
and industry best-practices with the support of Speakup. Users can
simply add their assistant’s address as ‘CC’ in an email, and EIVA
will share the recommended location and time slots with guests,
based on the user’s availability (using their calendar) and
scheduling preferences. A companion web application is also
developed to manage meetings and settings. The code is open
source and written in TypeScript with Node.js and Vue.js and
deployed on Amazon Web Services architecture in Europe. The
product is built with focus on data privacy and user personalization.
A user experience evaluation of both the EIVA and its app with
30 participants was conducted that found positive reception, with
the average rating of the overall assistant and app experience of 4.4
and 4.5 out of 5 respectively. Users’ behavior was also understood
with heatmaps and visualizations using pageview and mouse clicks
tracking. All but one participants said that the EIVA met their
expectations, and 25 out of 30 would use it in the future if it
launches as a service. Most would also be willing to pay for it, with
an average amount up to €6.16 per month. Participants also shared
Intent Classification
import { BayesClassifier } from "natural";
const classifier = new BayesClassifier();
classifier.addDocument(
[
"set up an appointment",
"schedule a call",
"meet me for dinner",
],
"setupNewAppointment"
);
classifier.addDocument(
[
"i can’t make it",
"reschedule this call",
"find another time",
],
"rescheduleAppointment"
);
classifier.train();