Visual user interface to supporting information seeking behavior in context searching

Moriyama, Yukihiro; Matsushita, Mitsunori; Takama, Yasufumi

doi:10.1109/taai.2015.7407103

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…The experimental results showed that the query time based on visual interface is much less than it is for text interface (Beyene and Godwin, 2018). Through the design of graphic visualization using node links, attractive layouts and alternative representations, search user interface would be more interactive and effective by reducing the redundancy (Moriyama et al , 2015).…”

Section: Literature Backgroundmentioning

confidence: 99%

Information search by applying VDL-based iconic tags: an experimental study

Xue

Zhang

et al. 2019

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Purpose Visual Distinctive Language (VDL)-based iconic tags are structured visual information annotation. They explicate the content and organization of tagged information by graphical and symbolic features in order to improve the vocabulary problems of textual tags. The purpose of this paper is to investigate how these special icons help in tagged-based user information searching. Design/methodology/approach A two-stage experiment was designed and conducted so as to follow and quantify the searching process in specific searching target case and no specific searching target case when using VDL-based iconic tags. Findings The experimental results manifested that VDL-based iconic tags enhanced the role of tag in information searching. They could make user better understand tag clusters, which, in turn, provide global structure of involved topics. Also, VDL-based iconic tags helped user to find out searching target more quickly with higher accuracy by taking advantages of visual representation of tag categories and symbolic signification of tag content. Originality/value This study is one of the first to verify how structured icons work in information searching and how user’s graphical cognition impacts on tag-based information searching process. The research findings are dedicated to the theory of VDL-based iconic tags, as well as to a new visualization method for search user interface design.

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Section: Literature Backgroundmentioning

confidence: 99%