Research hotspots and trends analysis of user experience: Knowledge maps visualization and theoretical framework construction

This study focuses on user experience from the perspective of big data to complete the aggregation, clustering, and visual presentation of knowledge. Using a combination of sample literature review, visualization technologies, knowledge map analysis, Carrot2 clustering, and other methodologies, this...

Full description

Saved in:
Bibliographic Details
Published in:Frontiers in psychology Vol. 13; p. 990663
Main Authors: Song, Ning, He, Xuemei, Kuang, Yin
Format: Journal Article
Language:English
Published: Frontiers Media S.A 28-09-2022
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study focuses on user experience from the perspective of big data to complete the aggregation, clustering, and visual presentation of knowledge. Using a combination of sample literature review, visualization technologies, knowledge map analysis, Carrot2 clustering, and other methodologies, this study intends to examine user experience from three perspectives: research state, hotspots, and trends. First, based on the double-map overlay, core institutions, core countries, core authors, core journals, and core references distribution research, the knowledge flow, research power, and research subjects of user experience are analyzed. Secondly, through keyword clustering analysis, this research intuitively presents the research topics of user experience and reveals the research hotspots and the evolution path of research methods. Finally, with the help of the subject clustering algorithm, the emerging trends of user experience research are predicted: the immersive experience upgrade of multi-scenario integration, the innovative design of multi-role collaboration, and the cross-disciplinary interactive exploration of multi-discipline. Following this, the user experience knowledge map is constructed, providing a global view and macro-cognition for subsequent research.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Edited by: Roberto Therón, University of Salamanca, Spain
This article was submitted to Human-Media Interaction, a section of the journal Frontiers in Psychology
Reviewed by: Don Donghee Shin, Zayed University, United Arab Emirates; Laura Icela González, Autonomous University of Nuevo León, Mexico
ISSN:1664-1078
1664-1078
DOI:10.3389/fpsyg.2022.990663