Evidence map›Paper›PMID 37050554›Full record

ArticleSensors (Basel, Switzerland)2023

Head-Mounted Projector for Manual Precision Tasks: Performance Assessment.

Virginia Mamone, Vincenzo Ferrari, Renzo D'Amato, Sara Condino, Nadia Cattari, Fabrizio Cutolo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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. Article
  2. Article
  3. 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

6 authors.

Virginia MamoneEndoCAS Center for Computer-Assisted Surgery, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0002-7172-5119
Vincenzo FerrariEndoCAS Center for Computer-Assisted Surgery, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0001-9294-2828
Renzo D'AmatoEndoCAS Center for Computer-Assisted Surgery, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0003-2477-8813
Sara CondinoEndoCAS Center for Computer-Assisted Surgery, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0001-5235-0414
Nadia CattariEndoCAS Center for Computer-Assisted Surgery, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0002-7091-2908
Fabrizio CutoloEndoCAS Center for Computer-Assisted Surgery, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0001-6773-3741

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing interest in augmented reality applications has led to an in-depth look at the performance of head-mounted displays and their testing in numerous domains. Other devices for augmenting the real world with virtual information are presented less frequently and usually focus on the description of the device rather than on its performance analysis. This is the case of projected augmented reality, which, compared to head-worn AR displays, offers the advantages of being simultaneously accessible by multiple users whilst preserving user awareness of the environment and feeling of immersion. This work provides a general evaluation of a custom-made head-mounted projector for the aid of precision manual tasks through an experimental protocol designed for investigating spatial and temporal registration and their combination. The results of the tests show that the accuracy (0.6±0.1 mm of spatial registration error) and motion-to-photon latency (113±12 ms) make the proposed solution suitable for guiding precision tasks.

Indexed as

head-mounted displayhead-mounted projectormotion-to-photon latencyoptical trackingspatial augmented reality

Identifiers

PMID37050554
PMCPMC10098766

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.