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Ji Soo Yi

Researcher at Purdue University

Publications -  63
Citations -  3102

Ji Soo Yi is an academic researcher from Purdue University. The author has contributed to research in topics: Visualization & Information visualization. The author has an hindex of 22, co-authored 63 publications receiving 2735 citations. Previous affiliations of Ji Soo Yi include Georgia Institute of Technology & Samsung.

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Journal ArticleDOI

Toward a Deeper Understanding of the Role of Interaction in Information Visualization

TL;DR: Seven general categories of interaction techniques widely used in Infovis are proposed, organized around a user's intent while interacting with a system rather than the low-level interaction techniques provided by a system.
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Dust & magnet: multivariate information visualization using a magnet metaphor

TL;DR: The present paper proposes Dust & Magnet, a multivariate information visualization technique using a magnet metaphor and various interactive techniques that has the potential to increase the acceptance of and utility for multi-dimensional information by a broader population of users who are not necessarily knowledgeable about multidimensional information visualization techniques.
Proceedings ArticleDOI

Understanding and characterizing insights: how do people gain insights using information visualization?

TL;DR: Four largely distinctive processes of gaining insight have been discussed in the InfoVis literature and these different processes provide some hints to understand the procedures in which insight can be gained from InfoVis.
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Capturing the effects of context on human performance in mobile computing systems

TL;DR: The results indicate that common contextual variations can lead to dramatic changes in behavior and that interactions between contextual factors are also important to consider.
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The Influence of Cultural Differences on the Use of Social Network Services and the Formation of Social Capital

TL;DR: The theory of cultural differences turned out to be insufficient to explain diverse usage patterns of SNSs, and results showed that Korean and Chinese users form bridging and bonding social capital mainly through Expert Search and Connection functions, but American users mainly use the Communication function to form bonding Social Capital.