Enhancing visual arts accessibility
An AI-driven approach to audio description of paintings
Bibliographic Data
| ID | 22427031 |
|---|---|
| Authors | Xichen Sun (0000-0001-5763-5275, University of Auckland, corresponding author), Luyi Zhu (0000-0002-9995-0123, University of Auckland), Robin Bautista (University of Auckland), Blaithan Altenburg (University of Auckland), Qianrui Zhao (University of Auckland), Isabella Chan (0000-0002-2777-0238, University of Auckland) |
| Year | 2026 |
| Volume | 25 |
| Issue | 2 |
| Publication date | 2026-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Universal Access in the Information Society (JOURNAL) |
| Journal identifiers | ISSN: 1615-5289 • E-ISSN: 1615-5297 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s10209-026-01334-7 |
| OpenAlex | W7151505404 |
| Language | EN |
| References cited | 31 |
Painting · Rubric · Scripting language · The arts · Upload · Multimodal Machine Learning Applications · Subtitles and Audiovisual Media · Translation Studies and Practices
Cultural Bias in Large Language Models
Algorithmic Political Bias in Artificial Intelligence Systems
From image to text to speech
Testing audio narration
Scripted or spontaneous? Two approaches to audio describing visual art in museums
What goes on behind the scenes? Exploring status perceptions, working conditions and job satisfaction of audio describers
Enough is enough
Vocal delivery of audio description by genre
Museum audio description
Into the language of museum audio descriptions
| Highly cited | No |
|---|