fan-humanagent - Realistic Cognitive Load Modeling for...

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Unformatted text preview: Realistic Cognitive Load Modeling for Enhancing Shared Mental Models in Human-Agent Collaboration Xiaocong Fan College of Information Sciences and Technology The Pennsylvania State University University Park, PA 16802 zfan@ist.psu.edu John Yen College of Information Sciences and Technology The Pennsylvania State University University Park, PA 16802 jyen@ist.psu.edu ABSTRACT Human team members often develop shared expectations to predict each others 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 shar- ing, the effectiveness of which highly depends on agents pro- cessing 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 infor- mation 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 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. Categories and Subject Descriptors I.2.11 [ Artificial Intelligence ]: Distributed Artificial In- telligence Intelligent agents, Multiagent systems General Terms Design, Experimentation, Human Factors Keywords Cognitive modeling, Human-centered teamwork, Shared be- lief maps, Multi-party communication 1. INTRODUCTION The entire movement of agent paradigm was spawned, at least in part, by the perceived importance of fostering human-like adjustable autonomy. Human-centered multi- agent teamwork has thus attracted increasing attentions in multi-agent systems field [2, 10, 4]. Humans and autonomous Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. AAMAS07 May 1418, 2007, Honolulu, Hawaii, USA. Copyright 2007 IFAAMAS . systems (agents) are generally thought to be complemen- tary: while humans are limited by their cognitive capacity in information processing, they are superior in spatial, heuris- tic, and analogical reasoning; autonomous systems can con- tinuously learn expertise and tacit problem-solving knowl- edge from humans to improve system performance. In short, humans and agents can team together to achieve better per- formance, given that they could establish certain mutual awareness to coordinate their mixed-initiative activities....
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This note was uploaded on 08/25/2011 for the course EGN 3060c taught by Professor Sukthankar,g during the Fall '08 term at University of Central Florida.

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fan-humanagent - Realistic Cognitive Load Modeling for...

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