Enabling Uniform Computer Interaction Experience for Blind Users through Large Language Models

TL;DR

This paper introduces Savant, an LLM-powered assistive tool that enables blind users to interact uniformly with diverse applications via natural language commands, reducing complexity and improving usability.

Contribution

Savant is a novel system that automates screen reader actions through natural language, simplifying interaction for blind users across heterogeneous interfaces.

Findings

Significant improvements in interaction efficiency.

Enhanced usability for blind users.

Effective automation of screen reader actions.

Abstract

Blind individuals, who by necessity depend on screen readers to interact with computers, face considerable challenges in navigating the diverse and complex graphical user interfaces of different computer applications. The heterogeneity of various application interfaces often requires blind users to remember different keyboard combinations and navigation methods to use each application effectively. To alleviate this significant interaction burden imposed by heterogeneous application interfaces, we present Savant, a novel assistive technology powered by large language models (LLMs) that allows blind screen reader users to interact uniformly with any application interface through natural language. Novelly, Savant can automate a series of tedious screen reader actions on the control elements of the application when prompted by a natural language command from the user. These commands can be flexible in the sense that the user is not strictly required to specify the exact names of the control elements in the command. A user study evaluation of Savant with 11 blind participants demonstrated significant improvements in interaction efficiency and usability compared to current practices.