Talks and Poster Presentations (with Proceedings-Entry):
M. Riveni, S. Dustdar:
"Trust and Interaction-type Considerations in Multi-objective Team Compositions for Human-computation (Best Paper Award)";
Talk: 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC 2018),
Berkeley, CA, USA;
- 2018-07-18; in: "Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC 2018)",
Y. Wang, S. Kwong, J. Feldman, N. Howard, P. Sheu, B. Widrow (ed.);
The past years have shown that human computation can be crucial in a variety of applications, and not only with individual work such as in crowdsourcing but also coordinated team-based work in various settings, enterprise or ad-hoc ones. As distributed intelligence systems are increasingly designed to include people as task-executing stakeholders along with software services, the need to automate the human involvement in terms of coordination is real. Research and industry are focused on automating the process of team-formation as well as team-coordination. We investigate this topic further in this paper. While existing work have focused on interactions in general in combination with metrics such as cost, we argue that interactions in team formations should be considered in the context of their types. In this paper we propose strategies and algorithms that consider interaction types when forming teams, in combination with trust. We report on results of our conducted experiments with both synthetic and real data regarding the proposed team formation strategies.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Created from the Publication Database of the Vienna University of Technology.