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Computer Science > Human-Computer Interaction

arXiv:2210.13820 (cs)
[Submitted on 25 Oct 2022]

Title:Supporting Electronics Learning through Augmented Reality

Authors:Thomas Kosch, Julian Rasch, Albrecht Schmidt, Sebastian Feger
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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 paper reflects on related work around AR and electronics that characterize open research challenges around the four characteristics functionality, fidelity, feedback type, and interactivity.
Subjects: Human-Computer Interaction (cs.HC)
ACM classes: H.5.1
Cite as: arXiv:2210.13820 [cs.HC]
  (or arXiv:2210.13820v1 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2210.13820

Submission history

From: Thomas Kosch [view email]
[v1] Tue, 25 Oct 2022 07:53:50 UTC (10,317 KB)
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