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O. Scekic, H. Truong, S. Dustdar:
"Managing Incentives in Social Computing Systems with PRINGL";
Talk: 15th International Conference on Web Information Systems Engineering (WISE 2014), Thessaloniki, Greece; 2014-10-12 - 2014-10-14; in: "Web Information Systems Engineering, WISE 2014, 15th International Conference, Proceedings, Part II", B. Benatallah, A. Bestavros, Y. Manolopoulos, A. Vakali, Y. Zhang (ed.); Springer International Publishing, LNCS 8787 (2014), ISBN: 978-3-319-11745-4; 415 - 424.

Novel web-based socio-technical systems require incentives for efficient management and motivation of human workers taking part
in complex collaborations. Incentive management techniques used in
existing crowdsourcing platforms are not suitable for intellectuallychallenging tasks; platform-specific solutions prevent both workers from comparing working conditions across different platforms as well as platform owners from attracting skilled workers. In this paper we present PRINGL, a domain-specific language for programming complex incentive strategies. It promotes re-use of proven incentive logic and allows composing of complex incentives suitable for novel types of socio-technical systems. We illustrate its applicability and expressiveness and discuss its properties and limitations.

rewards, incentives, social computing, crowdsourcing.

http://dx.doi.org/10.1007/978-3-319-11746-1_30

Project Head Schahram Dustdar:
Hybrid and Diversity-Aware Collective Adaptive Systems: When People Meet Machines to Build a Smarter Society