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Mengzhu Katie Chen

dblp:371/8743 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
0009-0001-6404-7647ORCID · reported

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

Human-computer interaction and ubiquitous computing · 2 · 1 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.

Human-computer interaction and pervasive computing
2 papers
Accessibility and assistive technology · 91% User interface design and tools · 9%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%

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

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology › assistive technology for visual impairment
tactile graphics
0.912025
Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults · CHI 2025
Multimedia analysis and retrieval › multimodal learning
multimodal representation learning
0.812024
Umwelt: Accessible Structured Editing of Multi-Modal Data Representations · CHI 2024
Accessibility and assistive technology
accessible data representation
0.812024
Umwelt: Accessible Structured Editing of Multi-Modal Data Representations · CHI 2024
Accessibility and assistive technology
multimodal representations
0.812024
Umwelt: Accessible Structured Editing of Multi-Modal Data Representations · CHI 2024
Accessibility and assistive technology › visual impairment
blind and low vision users
0.212024
Umwelt: Accessible Structured Editing of Multi-Modal Data Representations · CHI 2024

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

user study · 1.5authoring environment design · 1.5
YearPublicationVenuePosition
2025 Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults
abstract
CHI ’25, Yokohama, Japan
Mengzhu Katie Chen, Isabella Pedraza Pineros, Arvind Satyanarayan, Jonathan Zong
CHI1
2024 Umwelt: Accessible Structured Editing of Multi-Modal Data Representations
abstract
We present Umwelt, an authoring environment for interactive multimodal data representations. In contrast to prior approaches, which center the visual modality, Umwelt treats visualization, sonification, and textual description as coequal representations: they are all derived from a shared abstract data model, such that no modality is prioritized over the others. To simplify specification, Umwelt evaluates a set of heuristics to generate default multimodal representations that express a dataset’s functional relationships. To support smoothly moving between representations, Umwelt maintains a shared query predicated that is reified across all modalities — for instance, navigating the textual description also highlights the visualization and filters the sonification. In a study with 5 blind / low-vision expert users, we found that Umwelt’s multimodal representations afforded complementary overview and detailed perspectives on a dataset, allowing participants to fluidly shift between task- and representation-oriented ways of thinking.
Jonathan Zong, Isabella Pedraza Pineros, Mengzhu Katie Chen, Daniel Hajas, Arvind Satyanarayan
CHI3