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*                          Einladung
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*                     Informatik-Oberseminar
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Zeit:  Mittwoch, 30. April, 13.00 Uhr
Ort:   Seminarraum 003, Kopernikusstraße 6

Referent: Martin Bellgardt M.Sc.
          Lehr- und Forschungsgebiet Informatik 12

Thema: Increasing Immersion in Machine Learning Pipelines
       for Mechanical Engineering

Abstract:

Machine learning has become a vital tool in the toolbox of any discipline that regularly
interacts with data. This holds especially true for mechanical engineering, where the
demand for data driven approaches to engineering challenges has recently increased
drastically. While promising results have already been achieved by applying machine
learning models in this field, the opaqueness of modern machine learning models,
such as artificial neural networks, brings its own challenges. A lack of trust in these
models often prevents their application and a lack of intuition for their inner workings
prevents them from facilitating scientific discoveries about manufacturing processes.
This thesis aims to approach these challenges from the unique angle of increasing
the amount of immersion used when interacting with models and data throughout
the whole machine learning pipeline. Immersion in virtual environments has the
ability to facilitate a phenomenon called presence, which can make users perceive the
presented stimuli as more real and engage with them much more directly. However,
research regarding the effect of immersion on abstract data visualization is lacking.
It is argued that a similar phenomenon, in this thesis called data presence, can be
achieved with proper immersive visualization tools. Hence, multiple demonstrators
were developed that showcase the possibility to facilitate better understanding of
data, models, and the underlying processes using increased degrees of immersion.
First, general considerations are presented on developing immersive applications for
use in everyday work. Then, multiple immersive applications are presented for data
labeling, data understanding and model visualization. Each of these applications is
evaluated, showing indications that they can indeed lead to benefits for their users.

Es laden ein: die Dozentinnen und Dozenten der Informatik