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

Summary/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.

• Details
• Contents