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Current status and trends of technology, methods, and applications of Human–Computer Intelligent Interaction (HCII): A bibliometric research

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Abstract

This study delves into Human–Computer Intelligent Interaction (HCII), a burgeoning interdisciplinary field that builds upon traditional Human–Computer Interaction (HCI) by integrating advanced technologies like Natural Language Processing (NLP) and Machine Learning (ML). In this paper, we scrutinize 5,781 HCII papers published between 2000 and 2023, narrowing our focus to 803 most relevant articles to construct co-citation and interdisciplinary networks based on the CiteSpace Software. Our findings reveal that the publications of the United States and China are relatively high with 558 and 616 publications respectively. Furthermore, we found that machine learning and deep learning have emerged as the prevalent methodologies in HCII, which currently emphasizes multimodal emotion recognition, facial expression recognition, and NLP. We predict that HCII will be integrated into advanced applications such as neural-based interactive games and multi-sensory environments. In sum, our analysis underscores HCII's role in advancing artificial intelligence, facilitating more intuitive and efficient human–computer interactions, and its prospective societal impact. We hope that our review and analysis may guide the efforts of researchers aiming to contribute to HCII and develop more powerful and intelligent methods, tools, and applications.

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Funding

This research is funded by the State Key Laboratory of Mechanical Systems and Vibrations of China (Grant No.MSV202014); the Fundamental Research Funds for the Central Universities of China (HUST: 2020kfyXJJS014); the Major Philosophy and Social Science Research Project for Hubei Province Colleges and Universities of China (Grant No.20ZD002).

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  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

    Zijie Ding, Yan Gan, Yuwen Wang & Yukun **a

  2. Aerospace Information Research Institute, Chinese Academy of Sciences, Bei**g, 100190, China

    Yingrui Ji

  3. University of Chinese Academy of Sciences, Bei**g, 100190, China

    Yingrui Ji

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  1. Zijie Ding
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Ding, Z., Ji, Y., Gan, Y. et al. Current status and trends of technology, methods, and applications of Human–Computer Intelligent Interaction (HCII): A bibliometric research. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-023-18096-6

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