A Review of AI-Driven Conversational Chatbots Implementation Methodologies and Challenges (1999–2022)
Clicks: 163
ID: 276477
2023
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
163 views
37 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #229 of 275 articles by views in sustainability
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 275 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
A conversational chatbot or dialogue system is a computer program designed to simulate conversation with human users, especially over the Internet. These chatbots can be integrated into messaging apps, mobile apps, or websites, and are designed to engage in natural language conversations with users. There are also many applications in which chatbots are used for educational support to improve students’ performance during the learning cycle. The recent success of ChatGPT also encourages researchers to explore more possibilities in the field of chatbot applications. One of the main benefits of conversational chatbots is their ability to provide an instant and automated response, which can be leveraged in many application areas. Chatbots can handle a wide range of inquiries and tasks, such as answering frequently asked questions, booking appointments, or making recommendations. Modern conversational chatbots use artificial intelligence (AI) techniques, such as natural language processing (NLP) and artificial neural networks, to understand and respond to users’ input. In this study, we will explore the objectives of why chatbot systems were built and what key methodologies and datasets were leveraged to build a chatbot. Finally, the achievement of the objectives will be discussed, as well as the associated challenges and future chatbot development trends.
| Reference Key |
lin2023asustainability
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Lin, Chien-Chang;Huang, Anna Y. Q.;Yang, Stephen J. H.; |
| Journal | sustainability |
| Year | 2023 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Education
Biology (General)
Medicine (General)
Medicine
Biotechnology
environmental effects of industries and plants
renewable energy sources
environmental sciences
special aspects of education
political science (general)
astronomy
geophysics. cosmic physics
political institutions and public administration - asia (asian studies only)
|
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.