Work

Techniques for Improved Speech-Based Access to Diagrammatic Representations

Year: 2018

Type: conference-paper

Abstract: Natural language interfaces (NLIs) are a novel approach to non-visual accessibility of diagrammatic representations, such as statistical charts. This paper introduces a number of methods that aim to compensate for the lack of sight when accessing semantically-enhanced diagrams through a Web-based NLI.

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-94277-3_98

Authors: Tomas Murillo-Morales, Klaus Miesenberger

Institution: Johannes Kepler University of Linz

Language: English

Topic: Digital Accessibility for Disabilities

Subfield: Human Factors and Ergonomics

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $5,392

OpenAlex ID: W2810316141