Analysis of publication trends and themes in virtual assistant research, highlighting artificial intelligence applications.
Virtual assistants have become integral to personal and professional spheres, demonstrating their utility in various domains such as e-commerce, social media, and administrative tasks. This study examines research trends and new themes in virtual assistant research from 2014 to 2024 using a scientometric technique in conjunction with Latent Dirichlet Allocation (LDA). It analyses global publication trends, prominent authors, prolific sources, and important study subjects like artificial intelligence, conversational agents, and human-centered studies based on 8,079 Scopus-indexed papers. An annual publication growth rate of 33.87 % reflects rising interest in this domain. Four main themes emerged from topic modeling: healthcare applications, user-centric conversational AI, educational technology, and AI-driven information systems and chatbots. Terms like “chatgpt”, “education” and “patients” indicate a variety of applications, and the Inter-topic Distance Map and saliency-based analysis highlight theme similarities and contrasts. The report offers a thorough analysis of the changing field of virtual assistant research, providing insightful information for further investigation and advancement in this ever-evolving area.
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Choudhury et al. (2025) studied this question.
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