This paper describes the design and validation of a number of HCI techniques that enable more effective non-visual access to diagrammatically displayed data through an adapted Natural Language Interface (NLI). These techniques have been incorporated into an accessible web-based NLI to diagrams prototype and qualitatively evaluated with blind persons for solving disparate analytical and navigational tasks supported by diagrams. Each technique is described and validation results discussed.
CITATION STYLE
Murillo-Morales, T., & Miesenberger, K. (2022). Effective Non-visual Access to Diagrams via an Augmented Natural Language Interface. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13341 LNCS, pp. 63–72). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-08648-9_9
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