A Contextual Inquiry of People with Vision Impairments in Cooking
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Abstract (arXiv)
Individuals with vision impairments employ a variety of strategies for object identification, such as pans or soy sauce, in the culinary process. In addition, they often rely on contextual details about objects, such as location, orientation, and current status, to autonomously execute cooking activities. To understand how people with vision impairments collect and use the contextual information of objects while cooking, we conducted a contextual inquiry study with 12 participants in their own kitchens. This research aims to analyze object interaction dynamics in culinary practices to enhance assistive vision technologies for visually impaired cooks. We outline eight different types of contextual information and the strategies that blind cooks currently use to access the information while preparing meals. Further, we discuss preferences for communicating contextual information about kitchen objects as well as considerations for the deployment of AI-powered assistive technologies.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Feb 2024.
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Citing papers per year: 2024: 1; 2025: 6; 2026: 2.
9 papers.
- 2025Vid2Coach: Transforming How-To Videos into Task Assistantscited by 12
- 2024OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answeringcited by 10
- 2025OSCAR: Object Status and Contextual Awareness for Recipes to Support Non-Visual Cookingcited by 5
- 2025How Users Who are Blind or Low Vision Play Mobile Games: Perceptions, Challenges, and Strategiescited by 3
- 2026How Multimodal Large Language Models Support Access to Visual Information: A Diary Study With Blind and Low Vision Peoplecited by 3
- 2025Exploring Object Status Recognition for Recipe Progress Tracking in Non-Visual Cookingcited by 2
- 2025More than One Step at a Time: Designing Procedural Feedback for Non-visual Makeup Routinescited by 2
- 2025Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoningcited by 1
- 2026Lost in Instructions: Study of Blind Users' Experiences with DIY Manuals and AI-Rewritten Instructions for Assembly, Operation, and Troubleshooting of Tangible Productscited by 0
- 2026Lost in Instructions: Study of Blind Users' Experiences with DIY Manuals and AI-Rewritten Instructions for Assembly, Operation, and Troubleshooting of Tangible Products20 Feb 2026
- 2026How Multimodal Large Language Models Support Access to Visual Information: A Diary Study With Blind and Low Vision People13 Feb 2026
- 2025More than One Step at a Time: Designing Procedural Feedback for Non-visual Makeup Routines5 Jul 2025
- 2025Exploring Object Status Recognition for Recipe Progress Tracking in Non-Visual Cooking4 Jul 2025
- 2025Vid2Coach: Transforming How-To Videos into Task Assistants31 May 2025
- 2025OSCAR: Object Status and Contextual Awareness for Recipes to Support Non-Visual Cooking7 Mar 2025
- 2025How Users Who are Blind or Low Vision Play Mobile Games: Perceptions, Challenges, and Strategies14 Feb 2025
- 2025Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning27 Jan 2025
- 2024OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answering12 Sep 2024