Research Trends in Eye Gaze Tracking and its Implications: A Bibliometric Analysis
Introduction: Eye gaze tracking is essential in understanding non verbal communication, human-computer interaction and cognitive responses. Its applications range from healthcare to consumer behaviour analysis and gaming. The evolution of eye gaze tracking technology and its increasing adoption high...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JCDR Research and Publications Private Limited
2025-05-01
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| Series: | Journal of Clinical and Diagnostic Research |
| Subjects: | |
| Online Access: | https://jcdr.net/articles/PDF/21038/78212_CE[Ra1]_F(IS)_QC(PS_SS)_PF1(AG_SL)_PFA(OM)_PB(AG_SL)_PN(SL).pdf |
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| Summary: | Introduction: Eye gaze tracking is essential in understanding non verbal communication, human-computer interaction and cognitive responses. Its applications range from healthcare to consumer behaviour analysis and gaming. The evolution of eye gaze tracking technology and its increasing adoption highlight its significance across diverse domains.
Aim: To conduct a bibliometric analysis of eye gaze tracking research over the past two decades (2005-2024), exploring publication trends, collaboration patterns, key contributors and emerging research themes.
Materials and Methods: The present review was a bibliometric review in which data were extracted from the Web of Science Core Collection, amounting to 9,773 peer-reviewed articles. The bibliometric analysis tools used were VOSviewer and Biblioshiny for the investigation of co-authorship, citation and co-occurrence network analysis. The critical conceptual and intellectual trends in research on eye gaze tracking were identified, focusing on publication output and global collaborations in research.
Results: Findings showed that more than 62% of publications were published within the period 2018-2024. The United States of America (USA) accounted for the majority of research contributions, followed by England and Germany. Applications in healthcare, marketing and cognitive sciences were evident, with “autism” being a focus of critical importance.
Conclusion: Eye gaze tracking has seen rapid growth since 2018, with an increasing focus on Artificial Intelligence (AI)-assisted applications in healthcare, assistive technology and marketing. Emerging trends such as deep learning-based eye movement prediction and gaze-driven user experiences are shaping future developments. Upcoming research is expected to integrate AI, neuroscience and human-computer interaction to advance diagnostics and gaze-based security solutions. |
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| ISSN: | 2249-782X 0973-709X |