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Author: 20168

13 results

Enabling Tabular Data Exploration for Blind and Low-Vision Users

In a data-driven society, being able to examine data on one's own terms is crucial for various aspects of well-being. However, current data exploration paradigms, such as Exploratory Data Analysis (EDA), heavily rely on visualizations to unveil patterns and insights. This visual-centric approach poses significant chal…

Yanan Wang et al.University of Wisconsin - Madison

Erie: A Declarative Grammar for Data Sonification

Data sonification—mapping data variables to auditory variables, such as pitch or volume—is used for data accessibility, scientific exploration, and data-driven art (e.g., museum exhibitions) among others. While a substantial amount of research has been made on effective and intuitive sonification design, software supp…

Hyeok Kim et al.Northwestern University

How Do Low-Vision Individuals Experience Information Visualization?

In recent years, there has been a growing interest in enhancing the accessibility of visualizations for people with visual impairments. While much of the research has focused on improving accessibility for screen reader users, the specific needs of people with remaining vision (i.e., low-vision individuals) have been…

Yanan Wang et al.University of Wisconsin - Madison

Making Data-Driven Articles more Accessible: An Active Preference Learning Approach to Data Fact Personalization

Data-driven news articles are widely used to communicate societal phenomena with concrete evidence. These articles are often accompanied by a visualization, helping readers to contextualize content. However, blind and low vision (BLV) individuals have limited access to visualizations, hindering a deep understanding of…

Yanan Wang et al.University of Wisconsin - Madison

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"Explain What a Treemap is": Exploratory Investigation of Strategies for Explaining Unfamiliar Chart to the Blind and Low Vision Users

Visualization designers increasingly use diverse types of visualizations, but assistive technologies and education for blind and low vision people often focus on elementary chart types. We explore textual explanation as a more generalizable solution. We define three dimensions of explanation strategies based on educat…

Gyeongri Kim et al.University of Wisconsin - Madison

VisLab: Enabling Visualization Designers to Gather Empirically Informed Design Feedback

When creating a visualization, designers face various conflicting design choices. They typically rely on their hunches to deal with intricate trade-offs or resort to feedback from their colleagues. On the other hand, researchers have long used empirical methods to derive useful quantitative insights into visualization…

Jinhan Choi et al.Boston College

Exploring Chart Question Answering for Blind and Low Vision Users

Data visualizations can be complex or involve numerous data points, making them impractical to navigate using screen readers alone. Question answering (QA) systems have the potential to support visualization interpretation and exploration without overwhelming blind and low vision (BLV) users. To investigate if and how…

Jiho Kim et al.University of Wisconsin - Madison

Visualization Accessibility in the Wild: Challenges Faced by Visualization Designers

Data visualizations are now widely used across many disciplines. However, many of them are not easily accessible for visually impaired people. In this work, we use three-staged mixed methods to understand the current practice of accessible visualization design for visually impaired people. We analyzed 95 visualization…

Shakila Cherise S Joyner et al.Boston College

What makes web data tables accessible? Insights and a tool for rendering accessible tables for people with visual impairments

The data table is a basic but versatile representation to communicate data. From government reports to bank statements, tables effectively carry essential data-driven information by visually organizing data using rows, columns, and other arrangements (e.g., merged cells). However, many tables online neglect the access…

Yanan Wang et al.University of Wisconsin - Madison

Putting scientific results in perspective: Improving the communication of standardized effect sizes

How do people form impressions of effect size when reading scientific results? We present a series of studies on how people perceive treatment effectiveness when scientific results are summarized in various ways. We first show that a prevalent form of summarizing results---presenting mean differences between conditi…

Yea-Seul Kim et al.University of Wisconsin - Madison

A Bayesian Cognition Approach to Improve Data Visualization

People naturally bring their prior beliefs to bear on how they interpret the new information, yet few formal models exist for accounting for the influence of users' prior beliefs in interactions with data presentations like visualizations. We demonstrate a Bayesian cognitive model for understanding how people interpre…

Yea-Seul Kim et al.University of Wisconsin - Madison

Vocal Shortcuts for Creative Experts

Vocal shortcuts, short spoken phrases to control interfaces, have the potential to reduce cognitive and physical costs of interactions. They may benefit expert users of creative applications (e.g., designers, illustrators) by helping them maintain creative focus. To aid the design of vocal shortcuts and gather use cas…

Yea-Seul Kim et al.University of Wisconsin - Madison

Improving Comprehension of Measurements Using Concrete Re-expression Strategies

It can be difficult to understand physical measurements (e.g., 28 lb, 600 gallons) that appear in news stories, data reports, and other documents. We develop tools that automatically re-express unfamiliar measurements using the measurements of familiar objects. Our work makes three contributions: (1) we identify effec…

Jessica Hullman et al.University Of Washington

Paper Title	Authors	Research Topics	Paper Database	Year
Enabling Tabular Data Exploration for Blind and Low-Vision Users In a data-driven society, being able to examine data on one's own terms is crucial for various aspects of well-being. However, current data exploration paradigms, such as Exploratory Data Analysis (EDA), heavily rely on visualizations to unveil patterns and insights. This visual-centric approach poses significant chal…	YW Yanan Wang et al.University of Wisconsin - Madison
Erie: A Declarative Grammar for Data Sonification Data sonification—mapping data variables to auditory variables, such as pitch or volume—is used for data accessibility, scientific exploration, and data-driven art (e.g., museum exhibitions) among others. While a substantial amount of research has been made on effective and intuitive sonification design, software supp…	HK Hyeok Kim et al.Northwestern University
How Do Low-Vision Individuals Experience Information Visualization? In recent years, there has been a growing interest in enhancing the accessibility of visualizations for people with visual impairments. While much of the research has focused on improving accessibility for screen reader users, the specific needs of people with remaining vision (i.e., low-vision individuals) have been…	YW Yanan Wang et al.University of Wisconsin - Madison
emoji_events Making Data-Driven Articles more Accessible: An Active Preference Learning Approach to Data Fact Personalization Data-driven news articles are widely used to communicate societal phenomena with concrete evidence. These articles are often accompanied by a visualization, helping readers to contextualize content. However, blind and low vision (BLV) individuals have limited access to visualizations, hindering a deep understanding of…	YW Yanan Wang et al.University of Wisconsin - Madison
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
"Explain What a Treemap is": Exploratory Investigation of Strategies for Explaining Unfamiliar Chart to the Blind and Low Vision Users Visualization designers increasingly use diverse types of visualizations, but assistive technologies and education for blind and low vision people often focus on elementary chart types. We explore textual explanation as a more generalizable solution. We define three dimensions of explanation strategies based on educat…	GK Gyeongri Kim et al.University of Wisconsin - Madison
VisLab: Enabling Visualization Designers to Gather Empirically Informed Design Feedback When creating a visualization, designers face various conflicting design choices. They typically rely on their hunches to deal with intricate trade-offs or resort to feedback from their colleagues. On the other hand, researchers have long used empirical methods to derive useful quantitative insights into visualization…	JC Jinhan Choi et al.Boston College
Exploring Chart Question Answering for Blind and Low Vision Users Data visualizations can be complex or involve numerous data points, making them impractical to navigate using screen readers alone. Question answering (QA) systems have the potential to support visualization interpretation and exploration without overwhelming blind and low vision (BLV) users. To investigate if and how…	JK Jiho Kim et al.University of Wisconsin - Madison
Visualization Accessibility in the Wild: Challenges Faced by Visualization Designers Data visualizations are now widely used across many disciplines. However, many of them are not easily accessible for visually impaired people. In this work, we use three-staged mixed methods to understand the current practice of accessible visualization design for visually impaired people. We analyzed 95 visualization…	SJ Shakila Cherise S Joyner et al.Boston College
What makes web data tables accessible? Insights and a tool for rendering accessible tables for people with visual impairments The data table is a basic but versatile representation to communicate data. From government reports to bank statements, tables effectively carry essential data-driven information by visually organizing data using rows, columns, and other arrangements (e.g., merged cells). However, many tables online neglect the access…	YW Yanan Wang et al.University of Wisconsin - Madison
Putting scientific results in perspective: Improving the communication of standardized effect sizes How do people form impressions of effect size when reading scientific results? We present a series of studies on how people perceive treatment effectiveness when scientific results are summarized in various ways. We first show that a prevalent form of summarizing results---presenting mean differences between conditi…	YK Yea-Seul Kim et al.University of Wisconsin - Madison
A Bayesian Cognition Approach to Improve Data Visualization People naturally bring their prior beliefs to bear on how they interpret the new information, yet few formal models exist for accounting for the influence of users' prior beliefs in interactions with data presentations like visualizations. We demonstrate a Bayesian cognitive model for understanding how people interpre…	YK Yea-Seul Kim et al.University of Wisconsin - Madison
Vocal Shortcuts for Creative Experts Vocal shortcuts, short spoken phrases to control interfaces, have the potential to reduce cognitive and physical costs of interactions. They may benefit expert users of creative applications (e.g., designers, illustrators) by helping them maintain creative focus. To aid the design of vocal shortcuts and gather use cas…	YK Yea-Seul Kim et al.University of Wisconsin - Madison
Improving Comprehension of Measurements Using Concrete Re-expression Strategies It can be difficult to understand physical measurements (e.g., 28 lb, 600 gallons) that appear in news stories, data reports, and other documents. We develop tools that automatically re-express unfamiliar measurements using the measurements of familiar objects. Our work makes three contributions: (1) we identify effec…	JH Jessica Hullman et al.University Of Washington