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Asil Çetin

dblp:285/4113 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
—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 · 1 since 2021

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
User interface design and tools · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval
text analysis
0.512021
CorpSum: Towards an Enabling Tool-Design for Language Researchers to Explore, Analyze and Visualize Corpora · CHI 2021
Visualization and visual analytics
text visualization
0.512021
CorpSum: Towards an Enabling Tool-Design for Language Researchers to Explore, Analyze and Visualize Corpora · CHI 2021

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

user evaluation · 1.5iterative design · 1.5SUS · 1.5
YearPublicationVenuePosition
2021 CorpSum: Towards an Enabling Tool-Design for Language Researchers to Explore, Analyze and Visualize Corpora
abstract
Linguists use annotated text collections to validate, refute and refine a hypothesis about the written language. This research requires the creation and analysis of complex queries which are often above the technical expertise of the domain users. In this paper, we present a tool-design which enables language researchers to easily query annotated text corpora and conduct a comparative multi-faceted analysis on a single screen. The results of the iterative design process, including requirement analysis, multiple prototyping and user evaluation sessions, and expert reviews, are documented in detail. Our tool, called CorpSum, shows a 43.12 point increase in the mean SUS score in a randomized within-subjects test and an improvement of 3.18 times in mean task completion duration compared to a conventional solution. Two detailed case studies with linguists demonstrate a significant improvement for solving the real-world problems of the domain users.
Asil Çetin, Torsten Möller, Thomas Torsney-Weir
CHI1