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Sarah Elfenbein

dblp:31/7983 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 2

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
Interaction techniques and input · 51% Learning and educational technologies · 28% Collaborative and social computing · 21%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input
multi-touch and tangible interaction
0.112010
G-nome surfer: a tabletop interface for collaborative exploration of genomic data · CHI 2010
Collaborative and social computing › co-located collaboration
tabletop collaboration
0.112010
G-nome surfer: a tabletop interface for collaborative exploration of genomic data · CHI 2010
Interaction techniques and input › surface computing
tabletop interaction
0.112010
G-nome surfer: a tabletop interface for collaborative exploration of genomic data · CHI 2010
Interaction techniques and input › surface computing
multi-touch tabletop interaction
0.012012
Phylo-Genie: engaging students in collaborative 'tree-thinking' through tabletop techniques · CHI 2012
Bioinformatics and computational biology › genomics
genomic data analysis
0.012010
G-nome surfer: a tabletop interface for collaborative exploration of genomic data · CHI 2010

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

qualitative study · 0.2first-use study · 0.2experimental study · 0.1design-based research · 0.1
YearPublicationVenuePosition
2012 Phylo-Genie: engaging students in collaborative 'tree-thinking' through tabletop techniques
abstract
Phylogenetic trees are representations of evolutionary relationships amongst species. Interviews of instructors and students have revealed that novice biologists have difficulty understanding phylogenetics. Moreover, misinterpretations of phylogenetics are common among college-level students. In this paper we present Phylo-Genie, a tabletop interface for fostering collaborative learning of phylogenetics. We conducted an experimental study with 56 participants, comparing students' conceptual learning and engagement using Phylo-Genie as: 1) a multi-touch tabletop interface and 2) a pen and paper activity. Our findings show that the tabletop implementation fosters collaborative learning by engaging users in the activity. We also shed light on the way in which our design principles facilitated engagement and collaborative learning in a tabletop environment.
Bertrand Schneider, Megan K. Strait, Laurence Muller, Sarah Elfenbein, Orit Shaer, Chia Shen
CHI4
2010 G-nome surfer: a tabletop interface for collaborative exploration of genomic data
abstract
Molecular and computational biologists develop new insights by gathering heterogeneous data from genomic databases and leveraging bioinformatics tools. Through a qualitative study with 17 participants, we found that molecular and computational biologists experience difficulties interpreting, comparing, annotating, sharing, and relating this vast amount of biological information. We further observed that such interactions are critical for forming new scientific hypotheses. These observations motivated the creation of G-nome Surfer, a tabletop interface for collaborative exploration of genomic data that implements multi-touch and tangible interaction techniques. G-nome Surfer was developed in close collaboration with domain scientists and is aimed at lowering the threshold for using bioinformatics tools. A first-use study with 16 participants found that G-nome Surfer enables users to gain biological insights that are based on multiple forms of evidence with minimal overhead.
Orit Shaer, Guy Kol, Megan K. Strait, Chloe Fan, Catherine Grevet, Sarah Elfenbein
CHI6