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Visualization and Exploration of Deep Learning Networks in 3D and Virtual Reality

Schreiber, Andreas and Bock, Marcel (2019) Visualization and Exploration of Deep Learning Networks in 3D and Virtual Reality. In: Communications in Computer and Information Science, 1033. Springer, Cham. HCI International 2019, 26.-31. Jul 2019, Orlando, FL, USA. DOI: 10.1007/978-3-030-23528-4_29 ISBN 978-3-030-23527-7

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Official URL: https://link.springer.com/chapter/10.1007/978-3-030-23528-4_29


Understanding of artificial intelligence (AI) systems becomes more important as their use cases in real-world applications growth. Today’s AI systems are increasingly complex and ubiquitous. They will be responsible for making decisions that directly affect individuals. Explainable AI can potentially help by explaining actions, decisions and behaviours of AI systems to users. Our approach is to provide a tool with an interactive user interface in 3D. The tool visualizes deep learning network layers and allows interactive exploration on different levels of detail. The visualization then improves transparency and opacity of AI systems for experts and non-experts.

Item URL in elib:https://elib.dlr.de/128477/
Document Type:Conference or Workshop Item (Poster)
Title:Visualization and Exploration of Deep Learning Networks in 3D and Virtual Reality
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schreiber, AndreasAndreas.Schreiber (at) dlr.dehttps://orcid.org/0000-0001-5750-5649
Bock, MarcelMarcel.Bock (at) dlr.deUNSPECIFIED
Date:6 July 2019
Journal or Publication Title:Communications in Computer and Information Science
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1007/978-3-030-23528-4_29
Stephanidis, C.UNSPECIFIED
Publisher:Springer, Cham
Series Name:Communications in Computer and Information Science
Keywords:explainable artificial intelligence, deep learning, interpretable machine learning, interactive exploration, visualization
Event Title:HCI International 2019
Event Location:Orlando, FL, USA
Event Type:international Conference
Event Dates:26.-31. Jul 2019
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: Schreiber, Andreas
Deposited On:23 Jul 2019 10:05
Last Modified:27 Jan 2020 13:30

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