Improving Human Interaction in Crowdsensing

Conference paper (2014)

Authors

Gleb Polevoy Algorithmics - EEMCS
M.M. De Weerdt Algorithmics - EEMCS
Research Group
Algorithmics (EEMCS) (TU Delft)
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Published Date

2014

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Algorithmics

Abstract

We consider game theoretic aspects of crowdsensing projects. Com-
mencing by studying putting effort in and sharing rewards from public
projects, we continue to emotion-influenced interrelations in human soci-
ety, including negotiations as a kind of such influence. These topics are
also highly relevant to many applications apart from crowdsensing.