Projects per year
Abstract
Chatbots are intelligent conversational agents that can interact with users through natural languages. As chatbots can perform a variety of tasks, many companies have committed numerous resources to develop and deploy chatbots to enhance various business processes. However, we lack an up-to-date critical review that thoroughly examines both state-of-the-art technologies and innovative applications of chatbots. In this review, we not only critically analyze the various computational approaches used to develop state-of-the-art chatbots, but also thoroughly review the usability and applications of chatbots for various business sectors. We also identify gaps in chatbot-related studies and propose new research directions to address the shortcomings of existing studies and applications. Our review advances both academic research and practical business applications of state-of-the-art chatbots. We provide guidance for practitioners to fully realize the business value of chatbots and assist in making sensible decisions related to the development and deployment of chatbots in various business contexts. Researchers interested in the design and development of chatbots can also gain useful insights from our critical review and identify fruitful research topics and future research directions based on the research gaps discussed herein. This article is categorized under: Technologies > Machine Learning Application Areas > Business and Industry.
| Original language | English |
|---|---|
| Article number | e1434 |
| Number of pages | 26 |
| Journal | Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery |
| Volume | 12 |
| Issue number | 1 |
| Online published | 25 Oct 2021 |
| DOIs | |
| Publication status | Published - Jan 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Research Keywords
- Chatbot applications
- Chatbots
- conversational agents
- deep learning
- machine learning
RGC Funding Information
- RGC-funded
Policy Impact
- Cited in Policy Documents
Fingerprint
Dive into the research topics of 'A critical review of state-of-the-art chatbot designs and applications'. Together they form a unique fingerprint.Projects
- 1 Finished
-
GRF: A Generative Deep Learning Framework for Emotion-sensitive Robo-advisors in Personal Wealth Management
LAU, Y. K. R. (Principal Investigator / Project Coordinator), Li, C. (Co-Investigator) & WONG, C. S. M. (Co-Investigator)
1/01/20 → 13/12/23
Project: Research
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