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A. W. Rivadeneira

dblp:36/4328 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 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.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › interactive information retrieval
search and browsing
0.112007
Getting our head in the clouds: toward evaluation studies of tagclouds · CHI 2007
Visualization and visual analytics › text visualization
tag cloud
0.112007
Getting our head in the clouds: toward evaluation studies of tagclouds · CHI 2007
Collaborative and social computing › interpersonal communication
impression formation
0.012007
Getting our head in the clouds: toward evaluation studies of tagclouds · CHI 2007

Methods — techniques the papers use, named apart from their topics

user study · 0.2evaluation paradigm · 0.2
YearPublicationVenuePosition
2007 Getting our head in the clouds: toward evaluation studies of tagclouds
abstract
Tagclouds are visual presentations of a set of words, typically a set of "tags" selected by some rationale, in which attributes of the text such as size, weight, or color are used to represent features, such as frequency, of the associated terms. This note describes two studies to evaluate the effectiveness of differently constructed tagclouds for the various tasks they can be used to support, including searching, browsing, impression formation and recognition. Based on these studies, we propose a paradigm for evaluating tagclouds and ultimately guidelines for tagcloud construction.
A. W. Rivadeneira, Dan Gruen, Michael J. Muller, David R. Millen
CHI1