JACOB Voice Chatbot Application using Wit.ai for Providing Information in UMN

Wijaya, Steven and Wicaksana, Arya (2019) JACOB Voice Chatbot Application using Wit.ai for Providing Information in UMN. International Journal of Engineering and Advanced Technology (IJEAT), 8 (653). ISSN 2249 – 8958

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Abstract

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%.

Item Type: Article
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods
Divisions: Faculty of Engineering & Informatics > Informatics
Depositing User: Administrator UMN Library
Date Deposited: 14 Oct 2021 06:47
Last Modified: 14 Oct 2021 06:47
URI: https://kc.umn.ac.id/id/eprint/18761

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