Open AccessJACOB Voice Chatbot Application Using Wit.ai for Providing Information in UMN
Author(s) -
Steven Wijaya,
Arya Wicaksana
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1017.0986s319
Subject(s) - chatbot , popularity , computer science , world wide web , informatics , psychology , engineering , social psychology , electrical engineering
In this modern age, chatbots have been widely used as an information provider. The popularity of voice-based chatbots or voice chatbots has also increased with the presence of technologies such as Microsoft Cortana, Amazon Lex, Apple Siri, and Google Assistant. Interaction with voice chatbot is done using a voice which is more convenient than the text-based chatbots. Universitas Multimedia Nusantara (UMN) requires a tool to provide information for the Informatics joint-degree program. In this paper, a voice chatbot named JACOB is proposed. JACOB is built as a web-based application and implemented with Web Speech API. The sentences received by JACOB are translated using Wit.ai. The Jaro-Winkler distance is also applied in this research to reduce errors in identifying the user’s name. This implementation has been tested successfully, and the total satisfaction score measured using End User Computing Satisfaction is 78.53%