Bachelor Thesis
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The capabilities of Artificial Intelligence (AI) are utilized increasingly
in today‘s world. The autonomous and adaptive characteristics
allow applications to be more effective and efficient. A certain
subfield of Artificial Intelligence, Machine Learning, is enabling
services to be tailored to a user‘s specific needs. This could prove to
be useful in an information-heavy field such as Statistics. As design
research from SPSS Statistics, a legacy statistical application, has
indicated, statistics beginners struggle to tackle the challenge of
preparing a statistical research study. They turn to several sources
of information in an attempt to find help and answers but are not
always successful. This leads to them being unconfident before
they have even started to execute the statistical study. The adaptive
features of Artificial Intelligence could help support students
in this case, if designed according to established principles. This
thesis investigated the question whether an AI-powered solution
could elevate the users‘ confidence in statistical research studies.
In order to find the answer, a prototype with exemplary User Experience
was designed and implemented. Preceding research determined
the domain and market offer. User research was conducted
to ensure a human-centered outcome. The prototype was evaluated
with real test users and the results answered the question in
the affirmative.
With the increasing use of visual effects in feature films, TV series and commercials, flexibility becomes essential to create astonishing pictures while meeting tight production schedules. Deep image compositing introduces new possibilities that increase flexibility and solve old problems of depth based compositing. The following thesis gives an introduction to deep image compositing, illustrating its power and analyzing its use in a modern visual effects pipeline.
Concepts and Services for Asylum Seekers in Public Libraries Using the Example of Germany and Norway
(2016)
The goal of the following bachelor thesis is to introduce concepts of public libraries concerning asylum seekers. As an example the thesis is using public libraries in Germany and Norway. Therefore, the reader will be introduced to the general situation, living conditions and preconditions of asylum seekers in both countries as well as to preconditions of libraries and librarians concerning monetary and territorial aspects and education of library staff. Important international library representatives as well as local actors will be introduced and the importance of cooperation between libraries and other organizations will be examined. In the main part practical methods, services, offers and ways of how libraries can help asylum seekers will be elaborated and possibilities how asylum seekers can actively participate in the library will be explained. Challenges which can occur will be detected and elaborated. Furthermore, the public library of Bergen in Norway and the public library of Duisburg in Germany will be presented as best practice examples.
The goal of this thesis is to develop a novel type of virtual heritage medium that utilises the combined immersive and engaging potentials of interactive mixed reality environments and spatial narratives. Concretely, this is achieved through depth-sensitive compositing of real-time 3D content into the live-video of a tracked smartphone. The user can explore this mixed reality environment, watch the actions of staged 3D characters as well as interact with them and virtual artifacts. This medium would therefore provide possibilities for telling stories in direct context with existing environments along with an immersive and engaging media experience. This work will mainly focus on how this medium can be used as an edutainment medium in sites of cultural heritage. This thesis will focus on establishing the technical requirements and realisation possibilities for implementation in Unity on iPhone 5 / iOS 7. Subsequently, a prototype is implemented in order to prove the research results.