Supporting Electronics Learning through Augmented Reality

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Thomas Kosch

thomas.kosch@hu-berlin.de

HU Berlin

Berlin, Germany

Julian Rasch

julian.rasch@i.lmu.de

LMU Munich

Munich, Germany

Albrecht Schmidt

albrecht.schmidt@i.lmu.de

LMU Munich

Munich, Germany

Sebastian Feger

sebastian.feger@i.lmu.de

LMU Munich

Munich, Germany

Figure 1: A mock up of a non-functional augmented electronics breadboard. A smartphone app analyzes the functionality and

correctness of the circuit by detecting the congured circuit and spatially projecting virtual elements on the circuit compo-

nents.

ABSTRACT

Understanding electronics is a critical area in the maker scene.

Many of the makers’ projects require electronics knowledge to

connect microcontrollers with sensors and actuators. Yet, learning

electronics is challenging, as internal component processes remain

invisible, and students often fear personal harm or component

damage. Augmented Reality (AR) applications are developed to

support electronics learning and visualize complex processes. This

Permission to make digital or hard copies of all or part of this work for personal or

classroom use is granted without fee provided that copies are not made or distributed

for prot or commercial advantage and that copies bear this notice and the full citation

on the rst page. Copyrights for components of this work owned by others than ACM

must be honored. Abstracting with credit is permitted. To copy otherwise, or republish,

to post on servers or to redistribute to lists, requires prior specic permission and/or a

fee. Request permissions from permissions@acm.org.

CHI ’22, April 29-May 5, 2022, New Orleans, LA, USA

ACM ISBN 978-1-4503-XXXX-X/18/06. . . $15.00

https://doi.org/10.1145/nnnnnnn.nnnnnnn

paper reects on related work around AR and electronics that char-

acterize open research challenges around the four characteristics

functionality, delity, feedback type, and interactivity.

CCS CONCEPTS

•Human-centered computing →Interactive systems and tools

KEYWORDS

Augmented Electronics; Learning; Circuit Engineering;

ACM Reference Format:

Thomas Kosch, Julian Rasch, Albrecht Schmidt, and Sebastian Feger. 2022.

Supporting Electronics Learning through Augmented Reality. In Confer-

ence on Human Factors in Computing Systems, April 29-May 5, 2022, New

Orleans, LA, USA. ACM, New York, NY, USA, 5 pages. https://doi.org/10.

1145/nnnnnnn.nnnnnnn

arXiv:2210.13820v1 [cs.HC] 25 Oct 2022

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SupportingElectronicsLearningthroughAugmentedRealityThomasKoschthomas.kosch@hu-berlin.deHUBerlinBerlin,GermanyJulianRaschjulian.rasch@ifi.lmu.deLMUMunichMunich,GermanyAlbrechtSchmidtalbrecht.schmidt@ifi.lmu.deLMUMunichMunich,GermanySebastianFegersebastian.feger@ifi.lmu.deLMUMunichMunich,GermanyFigur...

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Supporting Electronics Learning through Augmented Reality

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