Alt4Blind: A User Interface to Simplify Charts Alt-Text Creation
<|reference_start|>Alt4Blind: A User Interface to Simplify Charts Alt-Text Creation: Alternative Texts (Alt-Text) for chart images are essential for making graphics accessible to people with blindness and visual impairments. Traditionally, Alt-Text is manually written by authors but often encounters issues such as oversimplification or complication. Recent trends have seen the use of AI for Alt-Text generation. However, existing models are susceptible to producing inaccurate or misleading information. We address this challenge by retrieving high-quality alt-texts from similar chart images, serving as a reference for the user when creating alt-texts. Our three contributions are as follows: (1) we introduce a new benchmark comprising 5,000 real images with semantically labeled high-quality Alt-Texts, collected from Human Computer Interaction venues. (2) We developed a deep learning-based model to rank and retrieve similar chart images that share the same visual and textual semantics. (3) We designed a user interface (UI) to facilitate the alt-text creation process. Our preliminary interviews and investigations highlight the usability of our UI. For the dataset and further details, please refer to our project page: https://moured.github.io/alt4blind/.<|reference_end|>
@article{moured2024alt4blind:,
    title={Alt4Blind: A User Interface to Simplify Charts Alt-Text Creation},
    author={Omar Moured, Shahid Ali Farooqui, Karin Muller, Sharifeh
  Fadaeijouybari, Thorsten Schwarz, Mohammed Javed, Rainer Stiefelhagen},
    journal={arXiv preprint arXiv:2405.19111},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.19111},
    primaryClass={cs.CV cs.HC}
}