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Wilma Bainbridge

dblp:36/1570 · DBLP profile ↗
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4ranked-venue papers
1as first author
3since 2021 · last 2025
—ORCID · unresolved

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

Artificial intelligence and machine learning · 3 · 3 since 2021Applied, interdisciplinary, general and emerging computing · 3 · 3 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author

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
1 paper
User interface design and tools · 100%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
User interface design and tools
search interface
0.112005
An interface to search human movements based on geographic and chronological metadata · SIGIR 2005

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

user study · 0.1timeline visualization · 0.1map-based visualization · 0.1
YearPublicationVenuePosition
2025 Humans and convolutional neural networks prioritize similar visual features in intuitive physics judgments
Ren Calabro, Kannon Bhattacharyya, Wilma Bainbridge, Yuan Chang Leong
CogSci3
2024 Semantic and Visual Features Drive the Intrinsic Memorability of Co-Speech Gestures
Xiaohan (Hannah) Guo, Wilma Bainbridge, Susan Goldin-Meadow
CogSci2
2024 Exploring the Contributions of Semantics and Emotion to Word Memorability: a Behavioural and Computational Modeling Study
Wilma Bainbridge, Andy C. H. Lee
CogSci2
2005 An interface to search human movements based on geographic and chronological metadata
abstract
Historians and scholars can better understand historic events by studying the geographic and chronological activity of individuals who witnessed them. A lack of adequate tools to help users study these activities can hinder the process of learning and discovery. In this paper we present an interface to address this problem that contains three components: a map, a timeline, and a text representation of a survivor's movements. These components simultaneously provide query input (where users can specify their needs) and dynamic results display (where users can immediately see the effect of their decisions). The results of a pilot study show that users reacted positively to the interface.
Wilma Bainbridge, Ryen W. White, Douglas W. Oard
SIGIR1