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Luis Silva

dblp:174/7852 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 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.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Human-computer interaction and pervasive computing
1 paper
Usability and user experience research · 100%
Software engineering, system software, and programming languages
1 paper
Empirical software engineering · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › visualization evaluation
information visualization evaluation
0.212016
Evaluating Information Visualization via the Interplay of Heuristic Evaluation and Question-Based Scoring · CHI 2016
Usability and user experience research › usability inspection
heuristic evaluation
0.112016
Evaluating Information Visualization via the Interplay of Heuristic Evaluation and Question-Based Scoring · CHI 2016
Usability and user experience research › evaluation methodology
visualization evaluation
0.112016
Evaluating Information Visualization via the Interplay of Heuristic Evaluation and Question-Based Scoring · CHI 2016

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

question-based scoring · 0.8heuristic evaluation · 0.8controlled study · 0.8
YearPublicationVenuePosition
2016 Evaluating Information Visualization via the Interplay of Heuristic Evaluation and Question-Based Scoring
abstract
In an instructional setting it can be difficult to accurately assess the quality of information visualizations of several variables. Instead of a standard design critique, an alternative is to ask potential readers of the chart to answer questions about it. A controlled study with 47 participants shows a good correlation between aggregated novice heuristic evaluation scores and results of answering questions about the data, suggesting that the two forms of assessment can be complementary. Using both metrics in parallel can yield further benefits; discrepancies between them may reveal incorrect application of heuristics or other issues.
Marti A. Hearst, Paul Laskowski, Luis Silva
CHI3