Creating a Mood Database for automated affect analysis

Affect-adaptive systems are dependent on their ability to automatically recognize a user’s affective state. This study aims to contribute to the creation of an affect-adaptive system that can recognize negative moods of elderly in care homes from a video feed, and improve it by adapting the lighting in the room. An affective database of videos...

Measuring Task Complexity in Human Computation Systems

Human computation platforms offer requesters the possibility to outsource human intelligence tasks or HITs to large amounts of workers around the world. Researching the various aspects of HIT design has the potential to improve the human computation experience for both requesters and workers. This thesis researches the relationship between...

Task recommendation in human computation

Crowdsourcing and Human computation have enabled industry, and scientists to create innovative solutions by harnessing organized collective human effort. In human computation platforms, it is observed that workers spend a considerable amount of time searching for appropriate tasks, thus losing revenues that they could have made and, ultimately,...

Task recommendation in human computation

Crowdsourcing and Human computation have enabled industry, and scientists to create innovative solutions by harnessing organized collective human effort. In human computation platforms, it is observed that workers spend a considerable amount of time searching for appropriate tasks, thus losing revenues that they could have made and, ultimately,...

Supporting users with credibility assessments of health Tweets

Twitter is one of the most popular social media platforms nowadays with more than 500 million tweets being send on a daily basis. A great variety of topics is discussed on Twitter and health has become a widely mentioned topic on Twitter. Users share updates regarding their own personal health situation and they use Twitter to look up health...

Evaluating the impact of digital filters on the aesthetic appeal of photographs: A crowdsourcing based approach

In particular grouping by aesthetics and quality of the media has brought along new challenges for Computational Aesthetics research such as what makes an image beautiful, what means beautiful and how do you quantify beautiful. to meet those challenges, researchers have tried to come up with several algorithms based in different metrics to...

Strategy Evaluation for High Quality Crowd Annotations in Cultural Heritage

Digitised Cultural Heritage Objects like pictures, video and audio are hard to retrieve without metadata like annotations describing what is depicted or the events which take place. Unfortunately the creation of this metadata is quite a slow and lengthy process, especially when this needs to be done in a qualitative manner. So the question...