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Christine H. Chih

dblp:90/5025 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2008
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
information visualization
0.112008
The persuasive phase of visualization · KDD 2008
Visualization and visual analytics › visual communication
persuasive visualization
0.112008
The persuasive phase of visualization · KDD 2008
YearPublicationVenuePosition
2008 The persuasive phase of visualization
abstract
Research in visualization often revolves around visualizing information. However, visualization is a process that extends over time from initial exploration to hypothesis confirmation, and even to result presentation. It is rare that the final phases of visualization are solely about information. In this paper we present a more biased kind of visualization, in which there is a message or set of assumptions behind the presentation that is of interest to both the presenter and the viewer, and emphasizes points that the presenter wants to convey to the viewer. This kind of persuasive visualization -- presenting data in a way that emphasizes a point or message -- is not only common in visualization, but also often expected by the viewer. Persuasive visualization is implicit in the deliberate emphasis on interestingness and also in the deliberate use of graphical elements that are processed preattentively by the human visual system, which automatically groups these elements and guiding attention so that they "stand out". We discuss how these ideas have been implemented in the Morpherspective system for automated generation of information graphics.
Christine H. Chih, Douglas Stott Parker Jr.
KDD1