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Heidi Wang

dblp:67/9544 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 2Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1

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.

Human-computer interaction and pervasive computing
2 papers
Collaborative and social computing · 56% Interaction techniques and input · 26% Learning and educational technologies · 18%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 10 heaviest of 12, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › text summarization
structured summarization
0.212013
Information cartography: creating zoomable, large-scale maps of information · KDD 2013
Information retrieval
text summarization
0.212013
Information cartography: creating zoomable, large-scale maps of information · KDD 2013
Visualization and visual analytics › geospatial visualization
metro map visualization
0.212013
Information cartography: creating zoomable, large-scale maps of information · KDD 2013
Visualization and visual analytics
visual analytics
0.212013
Information cartography: creating zoomable, large-scale maps of information · KDD 2013
Collaborative and social computing › computer-supported cooperative work › collaborative applications
collaborative data exploration
0.112012
The design, development, and deployment of a tabletop interface for collaborative exploration of genomic data · Int. J. Hum. Comput. Stud. 2012
Interaction techniques and input › surface computing
tabletop interaction
0.112012
The design, development, and deployment of a tabletop interface for collaborative exploration of genomic data · Int. J. Hum. Comput. Stud. 2012
Collaborative and social computing
collaborative learning
0.112011
Enhancing genomic learning through tabletop interaction · CHI 2011
Collaborative and social computing › co-located collaboration
tabletop collaboration
0.112011
Enhancing genomic learning through tabletop interaction · CHI 2011
Bioinformatics and computational biology › genomics
genomic data analysis
0.012012
The design, development, and deployment of a tabletop interface for collaborative exploration of genomic data · Int. J. Hum. Comput. Stud. 2012
Interaction techniques and input
multi-touch and tangible interaction
0.012011
Enhancing genomic learning through tabletop interaction · CHI 2011

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

zoomable metro maps · 0.3experimental study · 0.1comparative evaluation · 0.1
YearPublicationVenuePosition
2013 Information cartography: creating zoomable, large-scale maps of information
abstract
In an era of information overload, many people struggle to make sense of complex stories, such as presidential elections or economic reforms. We propose a methodology for creating structured summaries of information, which we call zoomable metro maps. Just as cartographic maps have been relied upon for centuries to help us understand our surroundings, metro maps can help us understand the information landscape.
Dafna Shahaf, Jaewon Yang, Caroline Suen, Jeff Jacobs, Heidi Wang, Jure Leskovec
KDD5
2012 The design, development, and deployment of a tabletop interface for collaborative exploration of genomic data
Orit Shaer, Megan K. Strait, Consuelo Valdes, Heidi Wang, Taili Feng, Michael Lintz, Michelle Ferreirae, Casey Grote, Kelsey Tempel, Sirui Liu 0002
Int. J. Hum. Comput. Stud.4
2011 Enhancing genomic learning through tabletop interaction
abstract
We present G-nome Surfer 2.0, a tabletop interface for fostering inquiry-based learning of genomics. We conducted an experimental study with 48 participants that compared students' learning of genomic concepts using existing bioinformatics tools and using two alternative implementations of G-nome Surfer: a collaborative multi-mouse GUI and a tabletop interface. Our findings indicate that G-nome Surfer improves students' performance, reduces workload, and increases enjoyment. The comparison of tabletop and multi-mouse implementations further shows that the tabletop condition results in four educational benefits: 1) increasing physical participation, 2) encouraging reflection, 3) fostering effective collaboration, and 4) facilitating more intuitive interaction.
Orit Shaer, Megan K. Strait, Consuelo Valdes, Taili Feng, Michael Lintz, Heidi Wang
CHI6