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Shubham Mehta

dblp:196/2812 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 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
1 paper
Accessibility and assistive technology · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology › image accessibility
accessible data visualization
0.612022
Communicating Visualizations without Visuals: Investigation of Visualization Alternative Text for People with Visual Impairments · IEEE Trans. Vis. Comput. Graph. 2022
Accessibility and assistive technology › image accessibility
alt text
0.612022
Communicating Visualizations without Visuals: Investigation of Visualization Alternative Text for People with Visual Impairments · IEEE Trans. Vis. Comput. Graph. 2022

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

survey · 1.1interview study · 1.1
YearPublicationVenuePosition
2022 Communicating Visualizations without Visuals: Investigation of Visualization Alternative Text for People with Visual Impairments
abstract
Alternative text is critical in communicating graphics to people who are blind or have low vision. Especially for graphics that contain rich information, such as visualizations, poorly written or an absence of alternative texts can worsen the information access inequality for people with visual impairments. In this work, we consolidate existing guidelines and survey current practices to inspect to what extent current practices and recommendations are aligned. Then, to gain more insight into what people want in visualization alternative texts, we interviewed 22 people with visual impairments regarding their experience with visualizations and their information needs in alternative texts. The study findings suggest that participants actively try to construct an image of visualizations in their head while listening to alternative texts and wish to carry out visualization tasks (e.g., retrieve specific values) as sighted viewers would. The study also provides ample support for the need to reference the underlying data instead of visual elements to reduce users' cognitive burden. Informed by the study, we provide a set of recommendations to compose an informative alternative text.
Crescentia Jung, Shubham Mehta, Atharva Kulkarni, Yuhang Zhao 0001, Yea-Seul Kim
IEEE Trans. Vis. Comput. Graph.2