Evidence map›Paper›PMID 35009805›Full record

ArticleSensors (Basel, Switzerland)2021

Smart Sensors for Augmented Electrical Experiments.

Sebastian Kapp, Frederik Lauer, Fabian Beil, Carl C Rheinländer, Norbert Wehn, Jochen Kuhn

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Sebastian KappPhysics Education Research Group, Department of Physics, Technische Universität Kaiserslautern, 67663 Kaiserslautern, Germany.ORCID 0000-0003-1052-8901
Frederik LauerMicroelectronic Systems Design Research Group, Department of Electrical and Computer Engineering, Technische Universität Kaiserslautern, 67663 Kaiserslautern, Germany.ORCID 0000-0001-5935-4872
Fabian BeilPhysics Education Research Group, Department of Physics, Technische Universität Kaiserslautern, 67663 Kaiserslautern, Germany.ORCID 0000-0002-8831-755X
Carl C RheinländerMicroelectronic Systems Design Research Group, Department of Electrical and Computer Engineering, Technische Universität Kaiserslautern, 67663 Kaiserslautern, Germany.ORCID 0000-0001-5132-3799
Norbert WehnMicroelectronic Systems Design Research Group, Department of Electrical and Computer Engineering, Technische Universität Kaiserslautern, 67663 Kaiserslautern, Germany.
Jochen KuhnPhysics Education Research Group, Department of Physics, Technische Universität Kaiserslautern, 67663 Kaiserslautern, Germany.ORCID 0000-0002-6985-3218

Funding

Federal Ministry of Education and Research 01JA2029Federal Ministry of Education and Research 01JD1811B
6 · The paper itself

Abstract

With the recent increase in the use of augmented reality (AR) in educational laboratory settings, there is a need for new intelligent sensor systems capturing all aspects of the real environment. We present a smart sensor system meeting these requirements for STEM (science, technology, engineering, and mathematics) experiments in electrical circuits. The system consists of custom experiment boxes and cables combined with an application for the Microsoft HoloLens 2, which creates an AR experiment environment. The boxes combine sensors for measuring the electrical voltage and current at the integrated electrical components as well as a reconstruction of the currently constructed electrical circuit and the position of the sensor box on a table. Combing these data, the AR application visualizes the measurement data spatially and temporally coherent to the real experiment boxes, thus fulfilling demands derived from traditional multimedia learning theory. Following an evaluation of the accuracy and precision of the presented sensors, the usability of the system was evaluated with n=20 pupils in a German high school. In this evaluation, the usability of the system was rated with a system usability score of 94 out of 100.

Indexed as

Augmented RealitySchoolsaugmented realitylaboratory instructionsmart sensorsSTEM education

Identifiers

PMID35009805
PMCPMC8749546

What OpenQuestion holds

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LicenceCC BY
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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.