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Using Visualization of Convolutional Neural Networks in Virtual Reality for Machine Learning Newcomers

Meissler, Nadine and Wohlan, Annika and Hochgeschwender, Nico and Schreiber, Andreas (2019) Using Visualization of Convolutional Neural Networks in Virtual Reality for Machine Learning Newcomers. IEEE International Conference of Artificial Intelligence and Virtual Reality, San Diego, USA. DOI: 10.1109/AIVR46125.2019.00031

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Abstract

Software systems and components are increasingly based on machine learning methods, such as Convolutional Neural Networks (CNNs). Thus, there is a growing need for common programmers and machine learning newcomers to understand the general functioning of these algorithms. However, as neural networks are complex in nature, novel presentation means are required to enable rapid access to the functionality. For that purpose, we examine how CNNs can be visualized in Virtual Reality (VR), as a virtual environment offers the opportunity to focus users on content through effects such as immersion and presence. With a first exploratory study, we confirmed that our visualization approach is both intuitive to use and conductive to learning. Moreover, users indicated an increased motivation to learning due to the virtual environment. Based on our findings, we propose a follow-up study that specifically compares the benefits of a virtual visualization approach to a traditional desktop visualization.

Item URL in elib:https://elib.dlr.de/133288/
Document Type:Conference or Workshop Item (Speech)
Title:Using Visualization of Convolutional Neural Networks in Virtual Reality for Machine Learning Newcomers
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Meissler, NadineDeutsches Zentrum für Luft- und RaumfahrtUNSPECIFIED
Wohlan, AnnikaAnnika.Wohlan (at) dlr.dehttps://orcid.org/0000-0002-5635-2414
Hochgeschwender, NicoNico.Hochgeschwender (at) dlr.dehttps://orcid.org/0000-0003-1306-7880
Schreiber, Andreasandreas.schreiber (at) dlr.dehttps://orcid.org/0000-0001-5750-5649
Date:2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/AIVR46125.2019.00031
Status:Published
Keywords:neural networks, visualization, virtual reality, knowledge learning
Event Title:IEEE International Conference of Artificial Intelligence and Virtual Reality
Event Location:San Diego, USA
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben SISTEC
Location: Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology > Distributed Systems and Component Software
Institut of Simulation and Software Technology
Deposited By: Wohlan, Annika
Deposited On:09 Jan 2020 09:36
Last Modified:09 Jan 2020 09:36

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