NAVI Assistant: A tool to integrate chatbots into EUD Solutions

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-11-26 DOI:10.1016/j.softx.2024.101972

Rubén Baena-Pérez, Iván Ruiz-Rube, José Miguel Mota, Juan Manuel Dodero

引用次数: 0

Abstract

This paper introduces NAVI Assistant, a tool designed to enhance learning in an End-User Development (EUD) environment. NAVI Assistant integrates a chatbot that uses natural language understanding (NLU) and machine learning (ML) technologies for intent recognition and context management. The tool comprises components within both a browser extension and a server, ensuring efficient and secure communication. This modular architecture supports the seamless integration of various functionalities, providing users with a smooth and efficient experience. The software discussed in this work is specifically implemented for App Inventor (AI2), an environment tailored for creating mobile applications.

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NAVI 助手：将聊天机器人集成到 EUD 解决方案中的工具

本文介绍了 NAVI 助手，这是一款旨在增强最终用户开发（EUD）环境中的学习效果的工具。NAVI 助手集成了一个聊天机器人，利用自然语言理解（NLU）和机器学习（ML）技术进行意图识别和上下文管理。该工具由浏览器扩展和服务器内的组件组成，可确保高效、安全的通信。这种模块化架构支持各种功能的无缝集成，为用户提供流畅高效的体验。本作品中讨论的软件是专门为 App Inventor (AI2) 实现的，AI2 是为创建移动应用程序量身定制的环境。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.