Melanie Bancilhon

dblp:251/5548 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2025
0000-0002-4834-6495ORCID · corroborated

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

Human-computer interaction and ubiquitous computing · 2 · 2 first-author · 2 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.

Computer graphics and multimedia
2 papers
Visualization and visual analytics · 100%
Human-computer interaction and pervasive computing
2 papers
Usability and user experience research · 100%

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

TopicWeightPapersLastEvidence papers
Usability and user experience research
decision-making
0.912025
The Anatomy of a Plea: How Uncertainty, Visualizations & Individual Differences Shape Plea Bargain Decisions · CHI 2025
Visualization and visual analytics
bayesian reasoning
0.712023
Why Combining Text and Visualization Could Improve Bayesian Reasoning: A Cognitive Load Perspective · CHI 2023
Visualization and visual analytics › information visualization › statistical graphics
icon arrays
0.712023
Why Combining Text and Visualization Could Improve Bayesian Reasoning: A Cognitive Load Perspective · CHI 2023
Visualization and visual analytics
uncertainty visualization
0.312025
The Anatomy of a Plea: How Uncertainty, Visualizations & Individual Differences Shape Plea Bargain Decisions · CHI 2025
Usability and user experience research
cognitive load
0.212023
Why Combining Text and Visualization Could Improve Bayesian Reasoning: A Cognitive Load Perspective · CHI 2023

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

user study · 1.7working memory capacity measurement · 1.3dual-task paradigm · 1.3
YearPublicationVenuePosition
2025 The Anatomy of a Plea: How Uncertainty, Visualizations & Individual Differences Shape Plea Bargain Decisions
Melanie Bancilhon, Alvitta Ottley, Andrew Jordan
CHI1
2023 Why Combining Text and Visualization Could Improve Bayesian Reasoning: A Cognitive Load Perspective
abstract
Investigations into using visualization to improve Bayesian reasoning and advance risk communication have produced mixed results, suggesting that cognitive ability might affect how users perform with different presentation formats. Our work examines the cognitive load elicited when solving Bayesian problems using icon arrays, text, and a juxtaposition of text and icon arrays. We used a three-pronged approach to capture a nuanced picture of cognitive demand and measure differences in working memory capacity, performance under divided attention using a dual-task paradigm, and subjective ratings of self-reported effort. We found that individuals with low working memory capacity made fewer errors and experienced less subjective workload when the problem contained an icon array compared to text alone, showing that visualization improves accuracy while exerting less cognitive demand. We believe these findings can considerably impact accessible risk communication, especially for individuals with low working memory capacity.
Melanie Bancilhon, Amanda Wright, Sunwoo Ha, R. Jordan Crouser, Alvitta Ottley
CHI1