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Aroosh Kumar

dblp:304/1257 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
—ORCID · none

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

Security and privacy · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 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.

Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%
Network and information security
1 paper
Usable security · 100%

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

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
augmented reality		 0.812024
When the User Is Inside the User Interface: An Empirical Study of UI Security Properties in Augmented Reality · USENIX Security Symposium 2024
Usable security
user interface security		 0.812024
When the User Is Inside the User Interface: An Empirical Study of UI Security Properties in Augmented Reality · USENIX Security Symposium 2024

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

empirical study · 1.5
YearPublicationVenuePosition
2024 When the User Is Inside the User Interface: An Empirical Study of UI Security Properties in Augmented Reality
Kaiming Cheng, Arkaprabha Bhattacharya, Michelle Lin, Jaewook Lee 0005, Aroosh Kumar, Jeffery F. Tian, Tadayoshi Kohno, Franziska Roesner
 USENIX Security Symposium5
2021 Sidewalk Gallery: An Interactive, Filterable Image Gallery of Over 500, 000 Sidewalk Accessibility Problems
abstract
What do sidewalk accessibility problems look like? How might these problems differ across cities? In this poster paper, we introduce Sidewalk Gallery, an interactive, filterable gallery of over 500,000 crowdsourced sidewalk accessibility images across seven cities in two countries (US and Mexico). Gallery allows users to explore and interactively filter sidewalk images based on five primary accessibility problem types, 35 tag categories, and a 5-point severity scale. When browsing images, users can also provide feedback about data correctness. We envision Gallery as a tool for teaching in urban design and accessibility and as a visualization aid for disability advocacy.
Michael Duan, Aroosh Kumar, Michael Saugstad, Aileen Zeng, Ilia Savin, Jon Froehlich
 ASSETS2