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

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...

全面介绍

书目详细资料
发表在:2024 IEEE 22nd Student Conference on Research and Development, SCOReD 2024
主要作者: 2-s2.0-85219563289
格式: Conference paper
语言:English
出版: Institute of Electrical and Electronics Engineers Inc. 2024
在线阅读:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219563289&doi=10.1109%2fSCOReD64708.2024.10872673&partnerID=40&md5=283bed9b8cb39d375cd45584a9e5d090
id Rashid F.S.B.M.; Kamsin A.B.; Noor N.F.B.M.
spelling Rashid F.S.B.M.; Kamsin A.B.; Noor N.F.B.M.
2-s2.0-85219563289
Natural Language Processing Studies in HumanComputer Interaction: A Bibliometric Analysis and Future Research Framework
2024
2024 IEEE 22nd Student Conference on Research and Development, SCOReD 2024


10.1109/SCOReD64708.2024.10872673
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.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper
author 2-s2.0-85219563289
spellingShingle 2-s2.0-85219563289
Natural Language Processing Studies in HumanComputer Interaction: A Bibliometric Analysis and Future Research Framework
author_facet 2-s2.0-85219563289
author_sort 2-s2.0-85219563289
title Natural Language Processing Studies in HumanComputer Interaction: A Bibliometric Analysis and Future Research Framework
title_short Natural Language Processing Studies in HumanComputer Interaction: A Bibliometric Analysis and Future Research Framework
title_full Natural Language Processing Studies in HumanComputer Interaction: A Bibliometric Analysis and Future Research Framework
title_fullStr Natural Language Processing Studies in HumanComputer Interaction: A Bibliometric Analysis and Future Research Framework
title_full_unstemmed Natural Language Processing Studies in HumanComputer Interaction: A Bibliometric Analysis and Future Research Framework
title_sort Natural Language Processing Studies in HumanComputer Interaction: A Bibliometric Analysis and Future Research Framework
publishDate 2024
container_title 2024 IEEE 22nd Student Conference on Research and Development, SCOReD 2024
container_volume
container_issue
doi_str_mv 10.1109/SCOReD64708.2024.10872673
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219563289&doi=10.1109%2fSCOReD64708.2024.10872673&partnerID=40&md5=283bed9b8cb39d375cd45584a9e5d090
description 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.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
_version_ 1828987861252177920

相似书籍