Demo Data from EDBT 2026 / reviewers in the wild / expert
Isabella Pedraza Pineros
dblp:352/4411
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2025
0009-0002-3269-7618ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 3 · 3 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
3 papers |
Accessibility and assistive technology · 87% User interface design and tools · 13% | |
| Computer graphics and multimedia
1 paper |
Multimedia analysis and retrieval · 100% |
Topics — the 7 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Accessibility and assistive technology › assistive technology for visual impairment
tactile graphics |
0.9 | 1 | 2025 | Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults · CHI 2025 |
Multimedia analysis and retrieval › multimodal learning
multimodal representation learning |
0.8 | 1 | 2024 | Umwelt: Accessible Structured Editing of Multi-Modal Data Representations · CHI 2024 |
Accessibility and assistive technology
accessible data representation |
0.8 | 1 | 2024 | Umwelt: Accessible Structured Editing of Multi-Modal Data Representations · CHI 2024 |
Accessibility and assistive technology › image accessibility
accessible data visualization |
0.8 | 1 | 2024 | "Customization is Key": Reconfigurable Textual Tokens for Accessible Data Visualizations · CHI 2024 |
Accessibility and assistive technology
multimodal representations |
0.8 | 1 | 2024 | Umwelt: Accessible Structured Editing of Multi-Modal Data Representations · CHI 2024 |
Accessibility and assistive technology › visual impairment
blind and low vision users |
0.2 | 1 | 2024 | Umwelt: Accessible Structured Editing of Multi-Modal Data Representations · CHI 2024 |
User interface design and tools
customization |
0.2 | 1 | 2024 | "Customization is Key": Reconfigurable Textual Tokens for Accessible Data Visualizations · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
user study · 1.5authoring environment design · 1.5screen reader · 0.8design study · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart DefaultsabstractCHI ’25, Yokohama, Japan Mengzhu Katie Chen, Isabella Pedraza Pineros, Arvind Satyanarayan, Jonathan Zong |
CHI | 2 |
| 2024 | "Customization is Key": Reconfigurable Textual Tokens for Accessible Data VisualizationsabstractCustomization is crucial for making visualizations accessible to blind and low-vision (BLV) people with widely-varying needs. But what makes for usable or useful customization? We identify four design goals for how BLV people should be able to customize screen-reader-accessible visualizations: presence, or what content is included; verbosity, or how concisely content is presented; ordering, or how content is sequenced; and, duration, or how long customizations are active. To meet these goals, we model a customization as a sequence of content tokens, each with a set of adjustable properties. We instantiate our model by extending Olli, an open-source accessible visualization toolkit, with a settings menu and command box for persistent and ephemeral customization respectively. Through a study with 13 BLV participants, we find that customization increases the ease of identifying and remembering information. However, customization also introduces additional complexity, making it more helpful for users familiar with similar tools. Shuli Jones, Isabella Pedraza Pineros, Daniel Hajas, Jonathan Zong, Arvind Satyanarayan |
CHI | 2 |
| 2024 | Umwelt: Accessible Structured Editing of Multi-Modal Data RepresentationsabstractWe 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 |
CHI | 2 |