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<article-title>Realistic Cognitive Load Modeling for Enhancing Shared Mental Models<br/> in Human-Agent Collaboration</article-title>
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<author><a href="mailto:zfan@ist.psu.edu"><name>Xiaocong Fan</name></a></author>
<aff>College of Information Sciences and Technology <br/>The Pennsylvania State University University Park, PA 16802</aff>

<author><a href="mailto:jyen@ist.psu.edu"><name>John Yen</name></a></author>
<aff>College of Information Sciences and Technology <br/>The Pennsylvania State University University Park, PA 16802</aff>
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<title>ABSTRACT</title>
<p>Human team members often develop shared expectations to
predict each other's needs and coordinate their behaviors.
In this paper the concept "Shared Belief Map" is proposed
as a basis for developing realistic shared expectations among
a team of Human-Agent-Pairs (HAPs). The establishment
of shared belief maps relies on inter-agent information sharing, the effectiveness of which highly depends on agents' processing loads and the instantaneous cognitive loads of their
human partners. We investigate HMM-based cognitive load
models to facilitate team members to "share the right information with the right party at the right time". The shared
belief map concept and the cognitive/processing load models
have been implemented in a cognitive agent architecture&#8211;
SMMall. A series of experiments were conducted to evaluate
the concept, the models, and their impacts on the evolving
of shared mental models of HAP teams.</p>
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