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Ruijie Geng

dblp:332/9126 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-7213-6631ORCID · reported

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

Human-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.

Human-computer interaction and pervasive computing
1 paper
Accessibility and assistive technology · 77% Interaction techniques and input · 23%

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

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology › mobile accessibility
touchscreen accessibility
0.712023
BrushLens: Hardware Interaction Proxies for Accessible Touchscreen Interface Actuation · UIST 2023
Interaction techniques and input › touch interaction
touchscreen interaction
0.212023
BrushLens: Hardware Interaction Proxies for Accessible Touchscreen Interface Actuation · UIST 2023

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

screenreader integration · 0.7physical actuation · 0.7interface model · 0.7
YearPublicationVenuePosition
2023 BrushLens: Hardware Interaction Proxies for Accessible Touchscreen Interface Actuation
abstract
Touchscreen devices, designed with an assumed range of user abilities and interaction patterns, often present challenges for individuals with diverse abilities to operate independently. Prior efforts to improve accessibility through tools or algorithms necessitated alterations to touchscreen hardware or software, making them inapplicable for the large number of existing legacy devices. In this paper, we introduce BrushLens, a hardware interaction proxy that performs physical interactions on behalf of users while allowing them to continue utilizing accessible interfaces, such as screenreaders and assistive touch on smartphones, for interface exploration and command input. BrushLens maintains an interface model for accurate target localization and utilizes exchangeable actuators for physical actuation across a variety of device types, effectively reducing user workload and minimizing the risk of mistouch. Our evaluations reveal that BrushLens lowers the mistouch rate and empowers visually and motor impaired users to interact with otherwise inaccessible physical touchscreens more effectively.
Yasha Iravantchi, Thomas Krolikowski, Ruijie Geng, Alanson P. Sample, Anhong Guo
UIST4