Design und Bewertung neuer Mechanismen für Crowdsourcing als neue Form der Arbeitsorganisation im Internet

• Antragsteller: Professor Dr. Tobias Hoßfeld, seit 10/2018; Dr.-Ing. Christoph Rensing; Professor Dr.-Ing. Ralf Steinmetz
• Fachliche Zuordnung: Sicherheit und Verlässlichkeit, Betriebs-, Kommunikations- und verteilte Systeme
• Förderung: Förderung von 2014 bis 2021
• Projektkennung: Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 239765193

Crowdsourcing can be defined as a strategy to outsource paid work that has been performed by regular employees in the past. With Crowdsourcing, any individual or organization can accomplish this through a public request for participation on an Internet platform targeted at a crowd of - typically unknown - participants.The platforms operator has to guarantee this platform's operation and needs to ensure a balance of interests between employees and employers. In the first two-year phase of this project several different mechanisms have been developed to both reduce the time needed to process tasks as well as to enhance the quality of the tasks results. Recommendation systems and means to determine an employees level of trustworthiness have been designed independent of any specific scenarios. Other mechanisms are tailor-made for the selected fields of QoE Studies and network measurements. The mechanisms design is based on several conductedanalyses and models derived from these.The goal of this project renewal proposal remains to be the development and evaluation of novel mechanisms as well as to optimize the ability of Crowdsourcing to act as a novel way to organize work on the Internet. In order to achieve this, research on recommendation systems for Crowdsourcing shall continue in this project,as has been intended by the first proposal. One of the key research points will be the examination of selection criteria - specifically those related to the similarity of tasks - and an employers preferences of these criteria. In the projects first phase such mechanisms have only been developed for so-called Microtask-Markets aswell as very narrow use cases in those markets. Now, these mechanisms are to be extended to two additional use cases that have become increasingly important both in economic as well as social terms. These are: Mobile Crowdsourcing and Enterprise Crowdsourcing. Mobile Crowdsourcing requires the task to be completed on amobile phone in order to record additional sensor readings such as the current location and other physical properties. And the term Enterprise Crowdsourcing subsumes all Crowdsourcing applications for businesses. Here, a single business acts as a provider of all tasks that are either fully or partially public, or limited to the companys own employees. The particular characteristics of these two use cases are to be investigated in this second project phase, and then incorporated into the modeling and design of such mechanisms. Through this approach, the developed techniques will also be tested for their suitability in real world scenarios.

• DFG-Verfahren: Sachbeihilfen
• Ehemaliger Antragsteller: Professor Dr.-Ing. Phuoc Tran-Gia, bis 9/2018 (†)