Seminar paper from the year 2014 in the subject Computer Science - Miscellaneous, grade: 1.0, LMU Munich (Institut für Informatik), course: Proseminar Medieninformatik, language: English, abstract: With the increasing prevalence of smartphones, gesture-based interaction has arrived in our everyday life, but we still do not exploit its full potential. This paper describes the benefits and drawbacks of gestural input and presents interaction techniques that address these drawbacks. Gestures provide the user with a new form of interaction that mirrors their experience in the real world. They feel natural and require neither interruption nor an additional device. Furthermore, they do not limit the user to a single point of input, but instead offer various forms of interaction. However, gestures also raise issues that are not relevant with traditional methods of input. The need to be learned and remembered, which requires the development of guides that promote the discoverability and memorability of these gestures and deal with input and recognition errors. Another aspect is the design of the gestures itself, which should make them memorable and easy and comfortable to execute.
Seminar paper from the year 2017 in the subject Computer Science - Internet, New Technologies, grade: 1.3, LMU Munich (Institut für Informatik), course: Recent Developments in Data Science, language: English, abstract: This essay deals with a graph search for communities with corresponding keywords. The era of big data and world-spanning social networks has highlighted the necessity of ways to make sense of this vast amount of information. Data can be arranged in a graph of connected vertices, therefore giving it a basic structure. If the vertices are further described by keywords, the structure is called an attributed graph. This paper discusses a query algorithm that scans these attributed graphs for communities that are not only structurally linked - therefore forming subgraphs - but also share the same keywords. This method might give new insights into the composition of large networks, highlight interesting connections and give opportunities for effectively targeted marketing. As a specific use case, the idea of the attributed community query is applied to the example of a film recommendation program.
Seminar paper from the year 2016 in the subject Computer Science - Internet, New Technologies, grade: 1.0, LMU Munich (Institut für Informatik), course: Hauptseminar Medieninformatik, language: English, abstract: Humans usually favor the company of beings similar to them and it is therefore natural to assume that with increasing human likeness, robots and artificial characters become more likeable and accepted. However, this is only true up to a point where the dynamic is reversed and synthetic characters appear uncanny. Thus, increased realism does not necessarily lead to an increase in acceptance. This phenomenon is called the "Uncanny Valley" and was first proposed by Masahiro Mori in 1970. It has recently sparked more interest due to advancements in robot development and computer animation and therefore a potential relevance in the robot, movie and video game industries as well as for scientific computer simulations. The theory of the Uncanny Valley is not undisputed, which is why this paper aims to present both evidence in favor and arguments against its existence or interpretation. Furthermore, the phenomenon shall be examined in more detail, investigating its backgrounds, possible explanations, influencing factors and its consequences on android design. Among the issues to be further investigated that were found in the discussion are alternative stimuli, the empirical measurement of the uncanny response, a universal categorization system, and the usefulness of the Uncanny Valley as a design guide. There are indications that the relationship between human likeness and likeability may not be as clear as proposed by Mori, but more-dimensional with additional factors to consider.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.