Evidence map›Paper›PMID 38222384›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2023

Usability and Recall Evaluation of Virtual Reality Ontology Object Manipulation (VROOM) System.

Margarita Vinnikov, Veena Chaudhari, James Geller

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2023. 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

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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

3 authors.

Margarita VinnikovNew Jersey Institute of Technology (NJIT), Newark, NJ.
Veena ChaudhariNew Jersey Institute of Technology (NJIT), Newark, NJ.
James GellerNew Jersey Institute of Technology (NJIT), Newark, NJ.

Funding

New Jersey Alliance for Clinical Translational Science: NJ ACTSUL1TR003017 · NCATS · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI PANETTIERI, REYNOLD ALEXANDER · 2019 to 2023
$28.9M
NCATS NIH HHS UL1 TR003017
6 · The paper itself

Abstract

Biomedical ontologies are repositories of knowledge that encapsulate biomedical terms and the relationships between them. When visualized, ontologies are complex graphs, where each node represents one biomedical concept, and links express binary relationships between pairs of concepts. Such a network can have thousands of nodes, making visualization and manipulation difficult. This paper presents a novel Virtual Reality Ontology Object Manipulation (VROOM) system that supports browsing and interaction with a biomedical ontology in a virtual 3-D space and a complementary usability evaluation of VROOM. VROOM provides editing tools such as scissors and a glue stick that can be used to reconnect concepts by direct manipulation. The study compares the recall process of information in a traditional 2-D ontology editor such as Prot´eg´e with the virtual reality setting. Our results show that virtual reality ontology manipulation is preferred over a more conventional graphical ontology browser on many usability aspects.

Indexed as

Biological OntologiesHumansKnowledgeUser-Computer Interface

Identifiers

PMID38222384
PMCPMC10785858

What OpenQuestion holds

Textmetadata
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.