Journal
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
Volume 12, Issue 1, Pages -Publisher
WILEY PERIODICALS, INC
DOI: 10.1002/widm.1434
Keywords
Chatbot applications; Chatbots; conversational agents; deep learning; machine learning
Funding
- Research Grants Council of the Hong Kong Special Administrative Region, China [CityU 11507219]
- City University of Hong Kong SRG [7005196]
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This review critically examines the state-of-the-art technologies and innovative applications of chatbots, identifying gaps in research and proposing new directions. It will advance both academic research and practical business applications of chatbots, providing guidance for practitioners and useful insights for researchers to explore fruitful research topics and future directions.
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
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