Natural Language Processing Studies in HumanComputer Interaction: A Bibliometric Analysis and Future Research Framework
This study conducts a bibliometric analysis of Natural Language Processing (NLP) within Human-Computer Interaction (HCI) to identify trends, challenges, and future directions. Analyzing 1,710 SCOPUS-indexed documents (1983-2024) using a PRISMA flowchart, the results show that the United States and C...
| 总结: | This study conducts a bibliometric analysis of Natural Language Processing (NLP) within Human-Computer Interaction (HCI) to identify trends, challenges, and future directions. Analyzing 1,710 SCOPUS-indexed documents (1983-2024) using a PRISMA flowchart, the results show that the United States and China are leading contributors. Key developments include emotion recognition, chatbot interfaces, and speech processing, highlighting NLP's role in user-centered technologies. Despite growing applications, challenges such as reliability and ethical concerns persist. This analysis emphasizes the need for ethical frameworks and technological advancements to address deployment issues and align NLP innovations with the United Nations Sustainable Development Goals (SDGs). By mapping global research trends, this study provides insights into the transformative potential of NLP in HCI for developing inclusive and responsive systems. © 2024 IEEE. |
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| DOI: | 10.1109/SCOReD64708.2024.10872673 |