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Outline

Title
Abstract
FAQs
Introduction
Systematic Literature Review Methodology
Review Planning
Research Questions
Review Protocol
Review Execution
Review Results and Analysis
Objectives of the Studies
Limitations and Solutions of the Primary Studies
Future Challenges Stated in the Primary Studies
Discussion
Study
Conclusions
References
All Topics
Computer Science
Distributed Systems

Exploring agent-based chatbots: a systematic literature review

Profile image of Davide CalvaresiDavide Calvaresi

Journal of Ambient Intelligence and Humanized Computing

https://doi.org/10.1007/S12652-023-04626-5
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20 pages

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1 file

Abstract

In the last decade, conversational agents have been developed and adopted in several application domains, including education, healthcare, finance, and tourism. Nevertheless, chatbots still need to address several limitations and challenges, especially regarding personalization, limited knowledge-sharing capabilities, multi-domain campaign support, real-time monitoring, or integration of chatbot communities. To cope with these limitations, many approaches based on multi-agent systems models and technologies have been proposed in the literature, opening new research directions in this context. To better understand the current panorama of the different chatbot technology solutions employing agent-based methods, this Systematic Literature Review investigates the different application domains, end-users, requirements, objectives, technology readiness levels, designs, strengths, limitations, and future challenges of the solutions found in this scope. The results of this review are intend...

FAQs

sparkles

AI

What are the key limitations identified in existing chatbot architectures?add

The study identifies significant limitations in architectural flexibility and personalization, which impede adaptability in varying scenarios. Many existing architectures are rigid, requiring reprogramming for new contexts, thus escalating operational costs.

How has the technology readiness level of agent-based chatbots evolved?add

Most studies fall within Technology Readiness Levels 3 and 4, indicating they are in early-stage development or laboratory testing phases. Only 5.3% of studies achieved Level 5, indicating real-world deployment in health-related campaigns.

What are the predominant application domains for multi-agent chatbots?add

The primary studies showed a broad application domain spectrum, particularly emphasizing education and healthcare. Personalized assistive purposes emerged as the most compelling area, leveraging chatbots for motivational and support roles.

Which methodologies are commonly utilized in multi-agent chatbot research?add

The systematic literature review employed a rigorous three-stage methodology comprising review planning, execution, and dissemination phases. This structured approach ensured a comprehensive selection and evaluation of 38 relevant studies out of an initial 108.

What future challenges do researchers see for agent-based chatbot systems?add

Future challenges include enhancing system stability, incorporating new functionalities, and gathering comprehensive user feedback through trials. These challenges encapsulate the need for better interoperability, security, and adherence to user-centric privacy standards.

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