Natural Language Processing Studies in HumanComputer Interaction: A Bibliometric Analysis and Future Research Framework

• الحاوية / القاعدة: 2024 IEEE 22nd Student Conference on Research and Development, SCOReD 2024
• المؤلف الرئيسي: 2-s2.0-85219563289
• التنسيق: Conference paper
• اللغة: English
• منشور في: Institute of Electrical and Electronics Engineers Inc. 2024
• الوصول للمادة أونلاين: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219563289&doi=10.1109%2fSCOReD64708.2024.10872673&partnerID=40&md5=283bed9b8cb39d375cd45584a9e5d090

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.