StateLens: A Reverse Engineering Solution for Making Existing Dynamic Touchscreens Accessible

TL;DR

StateLens is a comprehensive reverse engineering system that makes dynamic touchscreens accessible to blind users by reconstructing interface states, guiding task execution, and preventing accidental touches.

Contribution

It introduces a novel three-part approach combining computer vision, conversational guidance, and physical accessories to enable blind interaction with inaccessible touchscreens.

Findings

Accurately reconstructs interface state diagrams from videos

Enables blind users to access dynamic touchscreens effectively

Reduces accidental touches with 3D-printed accessories

Abstract

Blind people frequently encounter inaccessible dynamic touchscreens in their everyday lives that are difficult, frustrating, and often impossible to use independently. Touchscreens are often the only way to control everything from coffee machines and payment terminals, to subway ticket machines and in-flight entertainment systems. Interacting with dynamic touchscreens is difficult non-visually because the visual user interfaces change, interactions often occur over multiple different screens, and it is easy to accidentally trigger interface actions while exploring the screen. To solve these problems, we introduce StateLens - a three-part reverse engineering solution that makes existing dynamic touchscreens accessible. First, StateLens reverse engineers the underlying state diagrams of existing interfaces using point-of-view videos found online or taken by users using a hybrid crowd-computer vision pipeline. Second, using the state diagrams, StateLens automatically generates conversational agents to guide blind users through specifying the tasks that the interface can perform, allowing the StateLens iOS application to provide interactive guidance and feedback so that blind users can access the interface. Finally, a set of 3D-printed accessories enable blind people to explore capacitive touchscreens without the risk of triggering accidental touches on the interface. Our technical evaluation shows that StateLens can accurately reconstruct interfaces from stationary, hand-held, and web videos; and, a user study of the complete system demonstrates that StateLens successfully enables blind users to access otherwise inaccessible dynamic touchscreens.