Evidence map›Paper›PMID 42488515›Full record

ArticleProceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology2025

Aroma: Mixed-Initiative AI Assistance for Non-Visual Cooking by Grounding Multimodal Information Between Reality and Videos.

Zheng Ning, Leyang Li, Daniel Killough, JooYoung Seo, Patrick Carrington, Yapeng Tian, Yuhang Zhao, Franklin Mingzhe Li, Toby Jia-Jun Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zheng NingDepartment of Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana, USA.
Leyang LiDepartment of Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana, USA.
Daniel KilloughDepartment of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA.
JooYoung SeoSchool of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA.
Patrick CarringtonHuman-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Yapeng TianDepartment of Computer Science, University of Texas at Dallas, Richardson, Texas, USA.
Yuhang ZhaoDepartment of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Franklin Mingzhe LiHuman-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Toby Jia-Jun LiDepartment of Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana, 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

Videos offer rich audiovisual information that can support people in performing activities of daily living (ADLs), but they remain largely inaccessible to blind or low-vision (BLV) individuals. In cooking, BLV people often rely on

Indexed as

accessibilitycookingmultimodal perceptionvideo recipes

Identifiers

PMID42488515
PMCPMC13390888

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.