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Research hotspots and trends analysis of user experience: Knowledge maps visualization and theoretical framework
Ning Song1, Xuemei He1, Yin Kuang1
1College of Design and Art, Shaanxi University of Science and Technology, Xi'an, China.
Frontiers in Psychology
|October 17, 2022
Summary
This study analyzes user experience (UX) research using big data. It maps knowledge flow, identifies research hotspots, and predicts future trends for UX innovation.
Area of Science:
- Information Science
- Human-Computer Interaction
- Data Science
Background:
- User experience (UX) research is critical for product and service development.
- Big data analytics offers new possibilities for understanding UX.
- A comprehensive overview of UX research landscape is needed.
Purpose of the Study:
- To analyze the current state, hotspots, and trends in user experience research.
- To visualize the knowledge structure and evolution of UX research.
- To provide a macro-cognition for future UX studies.
Main Methods:
- Literature review and bibliometric analysis.
- Knowledge mapping, including double-map overlay.
- Data clustering algorithms (e.g., Carrot2) and visualization technologies.
Main Results:
- Identified core institutions, countries, authors, journals, and references in UX research.
- Revealed key research topics, hotspots, and the evolution of research methods.
- Predicted emerging trends: immersive experience, collaborative design, and interdisciplinary exploration.
Conclusions:
- The study constructs a user experience knowledge map for a global overview.
- It offers insights into knowledge flow, research power, and research subjects.
- The findings guide future research directions in user experience.
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