Analysis of the Research on Augmented Reality Using Knowledge Domain Visualization based on Co-Citation Analysis

Abstract

Augmented reality (AR) is considered to be an excellent user interface to a 3D information space embedded within physical reality. For this reason, it has been applied to various applications such as design, medical service, interaction, and collaboration. However, there is no formal way of analyzing the research trend and evolution of augmented reality. This paper identifies the research trend and change in augmented reality (AR) via co-citation analysis. The co-citation analysis provides how the AR research has evolved, who are main contributors, and which papers suggest essential and influencing impact. To systematically analyze the cocitation, we have retrieved 1,145 papers from the Web of Science and applied a scientomertric analysis using CiteSpace. Based on the co-citation analysis of authors and documents, it is possible to analyze the evolution of augmented reality, key authors and papers, and breakthroughs. We have also compared the proposed approach with survey papers written by experts so that the result of the co-citation analysis can compromise the qualitative result done by experts, and thus it can provide a different view and insight for visualizing the research on augmented reality.

Customizing intelligent recommendation study with multiple advisors based on hierarchy structured fuzzy‐analytic hierarchy process

“…In other words, the limitation of this system is that users must enter their requirements to their problem into the system beforehand to receive more accurate results. Paper 4 demonstrates knowledge systematization performed through information‐based system analysis. Although the system incorporates the organization of various knowledge and suggests utilization methods of such information, it cannot coordinate knowledge that pertains to specific fields.…”

Visual languages: A graphical review

“…Small, 12 Chen and Paul, 13 Chen, 15 Chen, 16 Elmqvist and Tzigas, 17 Zhao and Wang, 18 Zhang et al, 19 Lee and Chen, 20 Lee and Lee, 21 Jeong et al, 22 Yang and Wang, 23 this work Timeline based Morris et al, 14 Elmqvist and Tzigas, 17 Zhao and Wang, 18 Another part of the research has focused on improving interactions to browse charts. To this end, a credited principle is the Visual Information-Seeking Mantra, 33 which describes a general behavior for information visualization techniques: ''Overview first, zoom and filter, then details-on-demand.''…”