Work

Supporting Electronics Learning through Augmented Reality

Year: 2022

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2210.13820

Authors: Kosch, Thomas, Rasch, Julian, Schmidt, Albrecht, Feger, Sebastian

Institutions: Humboldt-Universität zu Berlin, Ludwig-Maximilians-Universität München

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W4307416628

Cites:

Cited by: 1

Related to: 10