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In recent times researchers have initiated investigating emotion as a collective property of groups, emphasizing the influence of combined emotions among group members on group processes. Within groups humans recognize and react emotionally to expressions of emotions of other group members. This paper uses a multi-agent-based approach to formalize and simulate such emotion contagion within groups.

This paper uses an agent-based approach to formalize and simulate emotion contagion spirals within groups. The computational multi-agent model is integrated within an intelligent ambient agent to monitor and predict group emotion levels over time and propose group support actions based on that.

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Abstract. In this paper a computational analysis is made of the circumstances under which joint decisions are or are not reached. Joint decision making as considered does not only concern a choice for a decision option, but also a good feeling about it, and mutually acknowledged empathic understanding. As a basis a computational social agent model for joint decision making is used. The model was inspired by principles from neurological theories on mirror neurons, internal simulation, and emotion-related valuing. The computational analysis does not only determine the different possible outcomes of joint decision making processes, but also the possible types of processes leading to these outcomes, and how these may relate to specific cognitive and social neurological characteristics of the persons.

Abstract. Human task performance may vary depending on the characteristics of the human, the task and the environment over time. To ensure high effectiveness and efficiency of the execution of tasks, automated personal assistance may be provided to task performers. A personal assistant agent may constantly monitor the human's state and task execution, analyse the state of the human and task, and intervene when a problem is detected. This paper proposes a generic design for a Personal Assistant agent model which can be deployed in a variety of domains. Application of the Personal Assistant model is illustrated by a case study from the naval domain.

Abstract. Human task performance varies depending on the task, environment, and states of the human over time. To ensure high effectiveness and efficiency in the execution of complex tasks, adaptive automated assistance of the human may be required. In this paper, a generic design for a multi-agent system architecture is presented and a personal assistant agent is presented that makes use of the proposed architecture. The agent constantly monitors the task execution and well-being of the human via non-intrusive sensors, and intervenes when a problem is detected. A human is given a complex task, while the future performance is predicted using observations and a dynamical model for the human's work pressure and exhaustion. If the predicted exhaustion becomes too high, the ambient agent can assist the human in a number of ways. Experiments show that the support system increases performance with around 13%, and that it enhances the feeling of control of the situation.