Human Computation

Human Computation is a paradigm where humans solve problems that are easy for them but yet difficult for computers. Image and speech recognition for instance belong to this group of problems. The task to solve is outsourced to a large group of participants wich is called crowdsourcing. In contrast to computers, which only need electricity to work, humans have to be constantly motivated for their contribution. Many different strategies evolved in HC-Projects to solve this problem. A promising way to motivate people to participate in such an HC-Grid is to integrate the HC-Task into a computer game and let users solve a defined problem while playing the game.

Our main research interests include, but are not limited to, Human Computation game design issues and fields of Application.

Collaborative Tagging is a powerful method to create folksonomies that can be used to grasp/filter user preferences or enhance web search. Recent research has shown that depending on the number of users and the quality of user-provided tags powerful community-driven semantics or “ontologies” can emerge...

The present work and demonstration system aims at finding an efficent and cost e ffective human computation method, to expand the linguistic capabilities of interactive games, that need it to respond appropriately to the language based input of their users.

Each day millions of people are playing digital games with di erent motivations. These motivations are ranging from time beating to deep immersion into a narration or interacting with a community. To address all these di erent means, a range of game designs is necessary.

Understanding natural language is still a challenging field for artificial systems. Answering questions given in a natural language or finding relevant search results to these questions are problems tackled by different researchers.

This thesis sets out to explore whether the socially desired quality of “being successful” correlates with the artificial beauty of digitally enhanced pictures. Furthermore, it investigates the question whether people are able to detect manipulated images.