mlsanityData to 7 Oct 2026

ProgramAlly: Creating Custom Visual Access Programs via Multi-Modal End-User Programming

arXiv 2408.10499 ↗First posted 20 Aug 2024cs.HC cs.AI cs.PLcited by 6

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Abstract (arXiv)

Existing visual assistive technologies are built for simple and common use cases, and have few avenues for blind people to customize their functionalities. Drawing from prior work on DIY assistive technology, this paper investigates end-user programming as a means for users to create and customize visual access programs to meet their unique needs. We introduce ProgramAlly, a system for creating custom filters for visual information, e.g., 'find NUMBER on BUS', leveraging three end-user programming approaches: block programming, natural language, and programming by example. To implement ProgramAlly, we designed a representation of visual filtering tasks based on scenarios encountered by blind people, and integrated a set of on-device and cloud models for generating and running these programs. In user studies with 12 blind adults, we found that participants preferred different programming modalities depending on the task, and envisioned using visual access programs to address unique accessibility challenges that are otherwise difficult with existing applications. Through ProgramAlly, we present an exploration of how blind end-users can create visual access programs to customize and control their experiences.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 8 of its 68 references that are in the map. First posted on arXiv 20 Aug 2024.

Builds on

8 of 68 references.

References · 8

  1. 2021Program Synthesis with Large Language Modelscited by 3,509
  2. 2018VizWiz Grand Challenge: Answering Visual Questions from Blind Peoplecited by 852
  3. 2024YOLO-World: Real-Time Open-Vocabulary Object Detectioncited by 498
  4. 2020Mapping Natural Language Instructions to Mobile UI Action Sequencescited by 180
  5. 2015DenseCap: Fully Convolutional Localization Networks for Dense Captioningcited by 176
  6. 2023Real-Time Flying Object Detection with YOLOv8cited by 93
  7. 2015Program Synthesis using Natural Languagecited by 41
  8. 2023Explaining CLIP's performance disparities on data from blind/low vision userscited by 7

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 3.

6 papers.