The objective of this project is to investigate the new computation paradigm of human computation, which outsources a certain steps of computational processes to humans to solve a variety of problems that computer computation has been unable to resolve completely thus far. This is a very challenging task, as it involves several technical issues (e.g., data mining, machine learning, software design, performance modeling, quality assurance, security and privacy), as well as the socio-economic issues (e.g., business and incentive model, human-computer interaction, and social networking). We plan to tackle the problem on the following two aspects.
On the analysis and modeling aspect, we wish to investigate incentive provisioning mechanisms, where incentives can be realized by reputation, fun, and/or currency. Moreover, we wish to design a generic model to model the trade-off between quality and efficiency of crowdsourcing systems, and provide a set of strategies to detect malicious behavior and alleviate their impacts to the system.
Additionally, on the system and application aspect, we plan to build a set of public platforms that facilitate researchers to collect quality data from the Internet crowd, and to conduct scientific experiments of quality assurance using crowdsourcing approaches. Finally, we plan to archive the dataset collected in this project, and make them publicly available to the research community.
This research is supported in part by the Research Center for Information Technology Innovation (CITI) in Academia Sinica, Institute of Information Science (IIS) in Academia Sinica, and National Science Council of Taiwan.