Evidence map›Paper›PMID 40692678›Full record

ArticleProceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology2024

CookAR: Affordance Augmentations in Wearable AR to Support Kitchen Tool Interactions for People with Low Vision.

Jaewook Lee, Andrew D Tjahjadi, Jiho Kim, Junpu Yu, Minji Park, Jiawen Zhang, Jon E Froehlich, Yapeng Tian, Yuhang Zhao

Abstract read
In one paragraph

Article in Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. VisiMark: Characterizing and Augmenting Landmarks for People with Low Vision in Augmented Reality to Support Indoor Navigation.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2025
    Article
  2. Introduction to the First Workshop on Vision Foundation Models and Generative AI for Accessibility.... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision · 2025
    Article
  3. Aroma: Mixed-Initiative AI Assistance for Non-Visual Cooking by Grounding Multimodal Information Between Reality and Videos.Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jaewook LeeUniversity of Washington Seattle, WA, USA.
Andrew D TjahjadiUniversity of Washington Seattle, WA, USA.
Jiho KimUniversity of Washington Seattle, WA, USA.
Junpu YuUniversity of Washington Seattle, WA, USA.
Minji ParkSungkyunkwan University Suwon, Korea.
Jiawen ZhangUniversity of Washington Seattle, WA, USA.
Jon E FroehlichUniversity of Washington Seattle, WA, USA.
Yapeng TianUniversity of Texas at Dallas Richardson, TX, USA.
Yuhang ZhaoUniversity of Wisconsin-Madison Madison, WI, USA.

Funding

SCH: Scene-Aware AR Systems for Low Vision People in Activities of Daily LivingR01EY037100 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI Yapeng Tian, Yuhang Zhao · 2024 to 2026
$915k
NEI NIH HHS R01 EY037100
6 · The paper itself

Abstract

Cooking is a central activity of daily living, supporting independence as well as mental and physical health. However, prior work has highlighted key barriers for people with low vision (LV) to cook, particularly around safely interacting with tools, such as sharp knives or hot pans. Drawing on recent advancements in computer vision (CV), we present

Indexed as

accessibilityaffordance segmentationaugmented realityvisual augmentation

Identifiers

PMID40692678
PMCPMC12279023

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.