Research Article

THEMATIC ANALYSIS OF RESEARCH TRENDS IN HUMAN–COMPUTER INTERACTION USING LEXIMANCER

Number: 31 April 28, 2026
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THEMATIC ANALYSIS OF RESEARCH TRENDS IN HUMAN–COMPUTER INTERACTION USING LEXIMANCER

Abstract

The rapid advancement of computer technologies has rendered interaction with computers indispensable across nearly every facet of human life. This phenomenon has elevated the significance of Human-Computer Interaction (HCI) research, necessitating an investigation into diverse approaches and themes within the field. This study aims to reveal the evolution and trends in HCI by conducting a thematic analysis of articles published in the International Journal of Human–Computer Interaction between 1994 and 2025. Within the scope of this research, the digital interaction process is categorized into four fundamental periods based on chronological and thematic criteria: the Early Digital Interaction Era (1994-2002), the Web and Mobile Expansion Era (2003-2011), the Smart Systems and Experience-Oriented Interaction Era (2012-2019), and the Artificial Intelligence and Ethical/Hybrid Interaction Era (2020-2025). Utilizing a text-mining approach, the Leximancer analysis tool was employed to examine the abstracts of 3,776 articles, resulting in the generation of conceptual maps. The findings indicate a continuity of core concepts in the HCI field, such as 'design', 'study', 'user', and 'system'. While technical and application-oriented concepts including 'interface', 'task', 'performance', and 'usability' were predominant during the early period (1994-2002), user-centered and contextual themes such as 'experience', 'interaction', 'technology', 'social', and 'learning' have become prominent in the periods spanning 2012-2025.

Keywords

Ethical Statement

In this study, all rules specified in the "Higher Education Institutions Scientific Research and Publication Ethics Directive" were adhered to. None of the actions specified in the second section of the directive, "Actions Contrary to Scientific Research and Publication Ethics," were taken.

References

  1. Alemdag, E., & Çağıltay, K. (2018). A systematic review of eye tracking research on multimedia learning. Computers & Education, 125, 413-428. https://doi.org/10.1016/j.compedu.2018.06.023
  2. Angus, D., Rintel, S., & Wiles, J. (2013). Making sense of big text: A visual-first approach for analysing text data using Leximancer and Discursis. International Journal of Social Research Methodology, 16(3), 261-267. https://doi.org/10.1080/13645579.2013.774186
  3. Azofeifa, J. D., Noguez, J., Ruiz, S., Molina-Espinosa, J. M., Magana, A. J., & Benes, B. (2022). Systematic review of multimodal human–computer interaction. Informatics, 9(1), 13, 1-32. https://doi.org/10.3390/informatics9010013
  4. Bala, M. Y., & Damla, K. (2021). A review of human-computer interaction design approaches towards information systems development. BRAIN: Broad Research in Artificial Intelligence and Neuroscience, 12(1), 229-250. https://doi.org/10.18662/brain/12.1/180
  5. Barutcu, E. I., & Gülseçen, S. (2024). Öğretim tasarımı araştırmalarında göz takibi teknolojisinin kullanılmasının bibliyometrik analizi. Journal of Research in Education and Teaching, 13(4), 29-38.
  6. Capdevila, M. G., Saltiveri, T. G., Garrido, J. E., Müller, O. H., & Ruas, L. C. (2021). Do current user testing practices meet the needs of the new interactive paradigms? In Proceedings of the XXI International Conference on HCI (pp. 1-9). ACM. https://doi.org/10.1145/3471391.3471416
  7. Carroll, J. M. (1997). Human–computer interaction: Psychology as a science of design. *International Journal of Human-Computer Studies, 46*(4), 501-522.
  8. Carroll, J. M., & Campbell, R. L. (1989). Artifacts as psychological theories: The case of human-computer interaction. Behaviour & Information Technology, 8(4), 247-256.

Details

Primary Language

English

Subjects

Management Information Systems

Journal Section

Research Article

Publication Date

April 28, 2026

Submission Date

November 1, 2025

Acceptance Date

March 17, 2026

Published in Issue

Year 2026 Number: 31

APA
Gündüz, K. (2026). THEMATIC ANALYSIS OF RESEARCH TRENDS IN HUMAN–COMPUTER INTERACTION USING LEXIMANCER. Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 31, 79-91. https://doi.org/10.29029/busbed.1815552
AMA
1.Gündüz K. THEMATIC ANALYSIS OF RESEARCH TRENDS IN HUMAN–COMPUTER INTERACTION USING LEXIMANCER. Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 2026;(31):79-91. doi:10.29029/busbed.1815552
Chicago
Gündüz, Koray. 2026. “THEMATIC ANALYSIS OF RESEARCH TRENDS IN HUMAN–COMPUTER INTERACTION USING LEXIMANCER”. Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, nos. 31: 79-91. https://doi.org/10.29029/busbed.1815552.
EndNote
Gündüz K (April 1, 2026) THEMATIC ANALYSIS OF RESEARCH TRENDS IN HUMAN–COMPUTER INTERACTION USING LEXIMANCER. Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 31 79–91.
IEEE
[1]K. Gündüz, “THEMATIC ANALYSIS OF RESEARCH TRENDS IN HUMAN–COMPUTER INTERACTION USING LEXIMANCER”, Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, no. 31, pp. 79–91, Apr. 2026, doi: 10.29029/busbed.1815552.
ISNAD
Gündüz, Koray. “THEMATIC ANALYSIS OF RESEARCH TRENDS IN HUMAN–COMPUTER INTERACTION USING LEXIMANCER”. Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 31 (April 1, 2026): 79-91. https://doi.org/10.29029/busbed.1815552.
JAMA
1.Gündüz K. THEMATIC ANALYSIS OF RESEARCH TRENDS IN HUMAN–COMPUTER INTERACTION USING LEXIMANCER. Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 2026;:79–91.
MLA
Gündüz, Koray. “THEMATIC ANALYSIS OF RESEARCH TRENDS IN HUMAN–COMPUTER INTERACTION USING LEXIMANCER”. Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, no. 31, Apr. 2026, pp. 79-91, doi:10.29029/busbed.1815552.
Vancouver
1.Koray Gündüz. THEMATIC ANALYSIS OF RESEARCH TRENDS IN HUMAN–COMPUTER INTERACTION USING LEXIMANCER. Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 2026 Apr. 1;(31):79-91. doi:10.29029/busbed.1815552