  In this paper we propose a trust model to be used into a hypothetical mixed
environment where humans and unmanned vehicles cooperate. We address the
inclusion of emotions inside a trust model in a coherent way to the practical
approaches to the current psychology theories. The most innovative contribution
is how privacy issues play a role in the cooperation decisions of the emotional
trust model. Both, emotions and trust have been cognitively modeled and managed
with the Beliefs, Desires and Intentions (BDI) paradigm into autonomous agents
implemented in GAML (the programming language of GAMA agent platform) that
communicates using the IEEE FIPA standard. The trusting behaviour of these
emotional agents is tested in a cooperative logistics problem where: agents
have to move objects to destinations and some of the objects and places have
privacy issues. The execution of simulations of this logistic problem shows how
emotions and trust contribute to improve the performance of agents in terms of
both, time savings and privacy protection
