Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
10-2025
Abstract
Cooking plays a vital role in everyday independence and well-being, yet remains challenging for people with vision impairments due to limited support for tracking progress and receiving contextual feedback. Object status — the condition or transformation of ingredients and tools — offers a promising but underexplored foundation for context-aware cooking support. In this paper, we present OSCAR (Object Status Context Awareness for Recipes), a technical pipeline that explores the use of object status recognition to enable recipe progress tracking in non-visual cooking. OSCAR integrates recipe parsing, object status extraction, visual alignment with cooking steps, and time-causal modeling to support real-time step tracking. We evaluate OSCAR on 173 instructional videos and a real-world dataset of 12 non-visual cooking sessions recorded by BLV individuals in their homes. Our results show that object status consistently improves step prediction accuracy across vision-language models, and reveal key factors that impact performance in real-world conditions, such as implicit tasks, camera placement, and lighting. We contribute the pipeline of context-aware recipe progress tracking, an annotated real-world non-visual cooking dataset, and design insights to guide future context-aware assistive cooking systems.
Keywords
Cooking, Context Awareness, Recipe, Object Status, Blind, People with Vision Impairments, Accessibility, Assistive technology
Discipline
Biomedical Engineering and Bioengineering | Graphics and Human Computer Interfaces
Research Areas
Intelligent Systems and Optimization
Areas of Excellence
Digital transformation
Publication
ASSETS '25: Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility, Denver, Colorado USA, October 26-29
First Page
1
Last Page
15
ISBN
9798400706769
Identifier
10.1145/3663547.3746318
Publisher
ACM
City or Country
New York
Citation
LI, Franklin Mingzhe; NG, Kaitlyn; ZHU, Bin; and CARRINGTON, Patrick.
Exploring object status recognition for recipe progress tracking in non-visual cooking. (2025). ASSETS '25: Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility, Denver, Colorado USA, October 26-29. 1-15.
Available at: https://ink.library.smu.edu.sg/sis_research/10477
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3663547.3746318
Included in
Biomedical Engineering and Bioengineering Commons, Graphics and Human Computer Interfaces Commons