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Facilitating human interactions in mixed initiative systems through dynamic interaction generation

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3 Author(s)
Penner, R.R. ; Automated Reasoning Technol., Honeywell Technol. Center, Minneapolis, MN, USA ; Nelson, K.S. ; Soken, N.H.

In our work to develop mixed-initiative, collaborative multi-agent societies, we have found that the introduction of automated reasoning capabilities into already complex systems that aid human process management exacerbates the already serious problem of human interaction with automation. Our solution is to incorporate a specially designed team of agents, the interaction management team, into the collaborative agent society. The team's main function is to facilitate the interaction between the society's human participants and the software participants. The interaction management team utilizes an automated object process, called dynamic interaction generation (DIG), to react to the dynamic interaction needs of the human and software collaborators. This paper presents an overview of the team's role in a multi-agent system, followed by a deeper discussion of the design and implementation of DIG

Published in:

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on  (Volume:1 )

Date of Conference:

12-15 Oct 1997