Content area

Abstract

The development of chatbots is often hindered by high costs and time consumption, with existing technologies and frameworks not fully addressing the diverse requirements for creating robust conversational agents across platforms like WhatsApp. This is a limitation for the implementation of these frameworks in a professional environment, thus representing both opportunities and complexities. This article presents improvements to the Xatkit framework, utilizing Model-Driven Development techniques to simplify chatbot development and extend support for WhatsApp. Additionally, the integration of the GPT-3 autoregressive language model enhances user interaction, offering a more sophisticated and responsive conversational experience.

Details

1009240
Business indexing term
Company / organization
Title
Enhancing Conversational Agent Development Through a Semi-Automatization Development Proposal
Author
Martínez-Gárate, Ángel 1 ; José Alfonso Aguilar-Calderón 2   VIAFID ORCID Logo  ; Tripp-Barba, Carolina 2   VIAFID ORCID Logo  ; Zaldívar-Colado, Aníbal 2   VIAFID ORCID Logo 

 Tata Consultancy, Zapopan 45080, Mexico; [email protected] 
 Facultad de Informática Mazatlán, Universidad Autónoma de Sinaloa, Mazatlán 82017, Mexico; [email protected] (C.T.-B.); [email protected] (A.Z.-C.) 
Publication title
Volume
15
Issue
3
First page
1139
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
20763417
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-01-23
Milestone dates
2024-12-04 (Received); 2025-01-20 (Accepted)
Publication history
 
 
   First posting date
23 Jan 2025
ProQuest document ID
3165778693
Document URL
https://www.proquest.com/scholarly-journals/enhancing-conversational-agent-development/docview/3165778693/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-02-12
Database
ProQuest One Academic