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Neural Network Visualization in Virtual Reality: A Use Case Analysis and Implementation

Queck, Dirk and Wohlan, Annika and Schreiber, Andreas (2022) Neural Network Visualization in Virtual Reality: A Use Case Analysis and Implementation. Lecture Notes in Computer Science, 13305, pp. 384-397. Springer. doi: 10.1007/978-3-031-06424-1_28. ISSN 0302-9743.

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Official URL: https://link.springer.com/chapter/10.1007/978-3-031-06424-1_28


Software systems and components increasingly rely on machine learning methods such as Artificial Neural Networks (ANNs) to provide intelligent functionality. Therefore, software developers and machine learning users should have a basic understanding of such methods. However, since ANNs are complex and thus challenging to grasp, novel visualization approaches can contribute to a better comprehension. We conducted an online survey to identify use cases and requirements for visualizing ANNs. Based on our results we designed and implemented an ANN visualization in virtual reality (VR) specifically targeted at machine learning users. Our approach is particularly suitable for teaching purposes and machine learning novices or non-experts who want to get an impression of the general functionality of neural networks.

Item URL in elib:https://elib.dlr.de/186951/
Document Type:Article
Title:Neural Network Visualization in Virtual Reality: A Use Case Analysis and Implementation
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Queck, DirkUNSPECIFIEDhttps://orcid.org/0000-0002-5992-6110
Wohlan, AnnikaUNSPECIFIEDhttps://orcid.org/0000-0002-5635-2414
Schreiber, AndreasUNSPECIFIEDhttps://orcid.org/0000-0001-5750-5649
Date:16 June 2022
Journal or Publication Title:Lecture Notes in Computer Science
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 384-397
Series Name:Human Interface and the Management of Information: Visual and Information Design. HCII 2022.
Keywords:Virtual Reality, Visualization, Neural networks
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Tasks SISTEC
Location: Köln-Porz
Institutes and Institutions:Institute for Software Technology > Intelligent and Distributed Systems
Institute for Software Technology
Deposited By: Schreiber, Andreas
Deposited On:11 Aug 2022 10:25
Last Modified:11 Aug 2022 10:25

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