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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.
Password-based authentication is widely used online, despite its numerous shortcomings, enabling attackers to take over users’ accounts. Phishing-resistant Fast IDentity Online (FIDO) credentials have therefore been proposed to improve account security and authentication user experience. With the recent introduction of FIDO-based passkeys, industry-leading corporations aim to drive widespread adoption of passwordless authentication to eliminate some of the most common account takeover attacks their users are exposed to. This thesis presents the first iteration of a distributed web crawler measuring the adoption of FIDO-based authentication methods on the web to observe ongoing developments and assess the viability of the promised passwordless future. The feasibility of automatically detecting authentication methods is investigated by analyzing crawled web content. Because today’s web is increasingly client-side rendered, capturing relevant data with traditional scraping methods is challenging. Thus, the traditional approach is compared to the browser-based crawling of dynamic content to optimize the detection rate. The results show that authentication method detection is possible, although there are some limitations regarding accuracy and coverage. Moreover, browser-based crawling is found to significantly increase detection rate.
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.
In order to publish Linked Open Data, the source data has to be prepared. This term paper introduces basic procedures of this publishing process. The focus is on the theoretical process of publishing, aspects of technical realization of this process through different approaches and the description of a first attempt to put the publishing process into practice with some sample data.
The legitimacy of users is of great importance for the security of information systems. The authentication process is a trade-off between system security and user experience. E.g., forced password complexity or multi-factor authentication can increase protection, but the application becomes more cumbersome for the users. Therefore, it makes sense to investigate whether the identity of a user can be verified reliably enough, without his active participation, to replace or supplement existing login processes.
This master thesis examines if the inertial sensors of a smartphone can be leveraged to continuously determine whether the device is currently in possession of its legitimate owner or by another person. To this end, an approach proposed in related studies will be implemented and examined in detail. This approach is based on the use of a so-called Siamese artificial neural network to transform the measured values of the sensors into a new vector that can be classified more reliably.
It is demonstrated that the reported results of the proposed approach can be reproduced under certain conditions. However, if the same model is used under conditions that are closer to a real-world application, its reliability decreases significantly. Therefore, a variant of the proposed approach is derived whose results are superior to the original model under real conditions.
The thesis concludes with concrete recommendations for further development of the model and provides methodological suggestions for improving the quality of research in the topic of "Continuous Authentication".
This report offers a survey of the methods that are being deployed at leading digital libraries to assess the use and usability of their online collections and services. Focusing on 24 Digital Library Federation member libraries, the study's author, Distinguished DLF Fellow Denise Troll Covey, conducted numerous interviews with library professionals who are engaged in assessment. The report describes the application, strengths, and weaknesses of assessment techniques that include surveys, focus groups, user protocols, and transaction log analysis. Covey's work is also an essential methodological guidebook. For each method that she covers, she is careful to supply a definition, explain why and how libraries use the method, what they do with the results, and what problems they encounter. The report includes an extensive bibliography on more detailed methodological information, and descriptions of assessment instruments that have proved particularly effective.
Climate change is one of the greatest societal challenges of our time. The global food production alone accounts for 26% of global greenhouse gas emissions. Without dietary changes, the challenges of climate protection can hardly be achieved in the food sector. Technology has the ability to significantly change society and it can be used to change people’s attitude or behaviors.
The current study investigated the potential of using Persuasive Technology for guiding consumers to implement sustainable food choices. To evaluate its impact, an online grocery store was designed and prototyped using the Persuasive Systems Design model according to Oinas-Kukkonen and Harjumaa. The intended target behavior was to adjust food choices and make sustainable consumption decisions. The target group consisted of individuals between the ages 20 and 34 years.
The iterative approach of the empirical study was divided into four parts: First, the requirements of the target group were analyzed. Then a concept of the grocery online shop was developed using the design principles of the Persuasive Systems Design model. The concept Foodprint was prototypically implemented and consequently, evaluated via A/B testing with target users. Two high-fidelity prototypes were similarly structured with the only difference that Prototype A contained persuasive elements. Prototype B was intended to collect comparative data in the user tests. Ten individuals of the target group evaluated the prototypes and their impressions of the concept and food choices were examined to assess the impact of the Persuasive Systems Design model.
The data were analyzed qualitatively as well as quantitatively. Prototype A – with the persuasive elements – showed a more positive user experience. The evaluation of tests A and B revealed that the persuasive elements were able to influence users to identify sustainable food options.
In general, it can be concluded that testers from both tests, A and B, rated the grocery online store as helpful and would be willing using it in the future. However, it became also evident that the target group lacked knowledge to make informed decisions about the environmental impact of their food choices. As observed in the current study, the participants considered it difficult to assess the sustainability level of foods when grocery shopping. Their purchasing decisions relied on labels and erroneous assumptions. These observations indicate the need for more support in making sustainable food choices.
The Persuasive Systems Design model had the potential to influence the users in their food choices, suggesting that it may be an option to contribute to environmental protection in the food sector. Over time, consumers may even become more aware of the impact of their food choices and hence, could adjust their purchasing behavior in stationary retail stores.
Head Mounted Displays (HMD) are increasingly used in various industries. But apart from the industry environment, the potentials of HMDs in a private environment like at home has been rel- atively unexplored so far. What daily tasks can these help with, in the home kitchen for example?
The aim of this thesis is to obtain knowledge about the usefulness of such an HMD, the HoloLens, in combination with an application, while following a new recipe. Therefore a prototype applica- tion for the HoloLens got developed which guides a user through the cooking of a sushi burger by using multimedia content.
With a mixed method design, consisting of quantitative and qualitative methods, the HoloLens in combination with an application was evaluated by 14 participants.
Not only the weight of the device was a problem for users. The test also revealed that the display is darkening the view and participants tend to look below the glasses. An advantage is indeed to reach the next cooking step without the need of using hands and always having in sight what needs to be done next. Positive feedback was given as well for the application. Through voice control the user communicates to a character which will guide through the recipe by videos and text.
If in future the technical characteristics of HMD devices will improve, an application in this con- text will be of advantage in order to simplify learning a new recipe. This device, in combination with an application, could help early-middle stage cognitive impaired people and blind people to cook.
In recent years new trends such as industry 4.0 boosted the research and
development in the field of autonomous systems and robotics. Robots collaborate and
even take over complete tasks of humans. But the high degree of automation requires
high reliability even in complex and changing environments. Those challenging
conditions make it hard to rely on static models of the real world. In addition to
adaptable maps, mobile robots require a local and current understanding of the scene.
The Bosch Start-Up Company is developing robots for intra-logistic systems, which
could highly benefit from such a detailed scene understanding. The aim of this work
is to research and develop such a system for warehouse environments. While the
possible field of application is in general very broad, this work will focus on the
detection and localization of warehouse specific objects such as palettes.
In order to provide a meaningful perception of the surrounding a RGB-D camera is
used. A pre-trained convolutional network extracts scene understanding in the form
of pixelwise class labels. As this convolutional network is the core of the application,
this work focuses on different network set-ups and learning strategies. One difficulty
was the lack of annotated training data. Since the creation of densely labeled images
is a very time consuming process it was important to elaborate on good alternatives.
One interesting finding was that it’s possible to transfer learning to a high extent from
similar models pre-trained on thousands of RGB-images. This is done by selective
interventions on the net parameters. By ensuring a good initialization it’s possible
to train towards a well performing model within few iterations. In this way it’s
possible to train even branched nets at once. This can also be achieved by including
certain normalization steps. Another important aspect was to find a suitable way
to incorporate depth-information. How to fuse depth into the existing model? By
providing the height over ground as an additional feature the segmentation accuracy
was further improved while keeping the extra computational costs low.
Finally the segmentation maps are refined by a conditional random field. The joint
training of both parts results in accurate object segmentations comparable to recently
published state-of-the-art models.
Video games have a significant influence on our time. However, lack of accessibility makes it hard for disabled gamers to play most of them. Virtual reality offers new possibilities to include people with disabilities and enable them to play games. Additionally, serious VR games provide educational benefits, such as improved memory and engagement.
In this work, the accessibility problems in video games and VR applications are explored with an emphasis on serious games as well as a general lack of guidelines. An overview of existing guidelines is given. From this, a set of guidelines is derived that summarizes the relevant rules for accessible VR games.
New ways to interact with VR environments come with both opportunities and challenges. This work investigates the applicability of different hands-free input methods to play a VR game. Using a serious game five focus and three activation methods were implemented exemplary with the Oculus Go. The suitability of these methods was analyzed in a pre-study that excluded head movements for controlling the game. The remaining input methods were evaluated in an explorative user study in terms of operability and ease of use.In summary, all tested methods can be used to control the game. The evaluation shows head-tracking as the preferred input method, while scanning eye-tracking and voice control were rated mediocre.
In addition, the correlation between input methods and different menu types was examined, but the influence turned out to be negligible.