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One way to optimize learning processes is to clearly inform the learner about problematic areas. Recent work on gazebased CHI showed that a reader's language skill can be inferred by gaze analysis. However, only few approaches have been proposed to identify those document parts a reader finds problematic. Our goal is to develop a computational method for(More)
This video paper describes the practical outcome of the first milestone of a project aiming at setting up a so-called Hybrid Team that can accomplish a wide variety of different tasks. In general, the aim is to realize and examine the collaboration of augmented humans with autonomous robots, virtual characters and SoftBots (purely software based agents)(More)
Efficient usage of the knowledge provided by the Linked Data community is often hindered by the need for domain experts to formulate the right SPARQL queries to answer questions. For new questions they have to decide which datasets are suitable and in which terminology and modelling style to phrase the SPARQL query. In this work we present an evolutionary(More)
This paper presents an automatic video annotation method which utilizes the user's reading behaviour. Using a wearable eye tracker, we identify the video frames where the user reads a text document and extract the sentences that have been read by him or her. The extracted sentences are used to annotate video segments which are taken from the user's(More)
Broad availability of camera devices allows users to easily create, upload, and share photos on the Internet. However, users not only want to share their photos in the very moment they acquire them, but also ask for tools to enhance the aesthetics of a photo before upload as seen by the popularity of services such as Instagram. This paper presents a(More)
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