In this paper, we present an interface agent, MokSAF, which facilitates time-critical team-planning tasks for teams of both humans and heterogeneous software agents. This agent assists in the formation of teams of humans (via other MokSAF agents) and task agents that can autonomously perform team subtasks. It provides a suitable interaction mechanism to instruct the various task agents in the team; and, by monitoring the human's progress, reallocate or modify the sub-tasks if the human fails to achieve that subtask. A military domain has been used to investigate this interface agent. The task consists of three military (human) commanders that each assemble a platoon, and plan routes so that all three platoons arrive at a given rendezvous by a specified time. An experimental study has been conducted to evaluate MokSAF and the assistance provided by one of three different task agents, and the results summarized.
Beschreibung
Agent-based support for human/agent teams | CHI '00 Extended Abstracts on Human Factors in Computing Systems
%0 Conference Paper
%1 payne2000agent
%A Payne, Terry R.
%A Lenox, Terri L.
%A Hahn, Susan
%A Sycara, Katia
%A Lewis, Michael
%B CHI \textquotesingle00 extended abstracts on Human factors in computing systems - CHI \textquotesingle00
%D 2000
%I ACM Press
%K Agent based human hybrid i40 team
%R 10.1145/633292.633308
%T Agent-based support for human/agent teams
%U https://doi.org/10.1145%2F633292.633308
%X In this paper, we present an interface agent, MokSAF, which facilitates time-critical team-planning tasks for teams of both humans and heterogeneous software agents. This agent assists in the formation of teams of humans (via other MokSAF agents) and task agents that can autonomously perform team subtasks. It provides a suitable interaction mechanism to instruct the various task agents in the team; and, by monitoring the human's progress, reallocate or modify the sub-tasks if the human fails to achieve that subtask. A military domain has been used to investigate this interface agent. The task consists of three military (human) commanders that each assemble a platoon, and plan routes so that all three platoons arrive at a given rendezvous by a specified time. An experimental study has been conducted to evaluate MokSAF and the assistance provided by one of three different task agents, and the results summarized.
@inproceedings{payne2000agent,
abstract = {In this paper, we present an interface agent, MokSAF, which facilitates time-critical team-planning tasks for teams of both humans and heterogeneous software agents. This agent assists in the formation of teams of humans (via other MokSAF agents) and task agents that can autonomously perform team subtasks. It provides a suitable interaction mechanism to instruct the various task agents in the team; and, by monitoring the human's progress, reallocate or modify the sub-tasks if the human fails to achieve that subtask. A military domain has been used to investigate this interface agent. The task consists of three military (human) commanders that each assemble a platoon, and plan routes so that all three platoons arrive at a given rendezvous by a specified time. An experimental study has been conducted to evaluate MokSAF and the assistance provided by one of three different task agents, and the results summarized.},
added-at = {2020-04-01T12:16:40.000+0200},
author = {Payne, Terry R. and Lenox, Terri L. and Hahn, Susan and Sycara, Katia and Lewis, Michael},
biburl = {https://www.bibsonomy.org/bibtex/209be3e711f6bfd7f19bccdbc53cca656/porta},
booktitle = {{CHI} {\textquotesingle}00 extended abstracts on Human factors in computing systems - {CHI} {\textquotesingle}00},
description = {Agent-based support for human/agent teams | CHI '00 Extended Abstracts on Human Factors in Computing Systems},
doi = {10.1145/633292.633308},
interhash = {beb82cb35cb9d4b30c733da4bd400fc2},
intrahash = {09be3e711f6bfd7f19bccdbc53cca656},
keywords = {Agent based human hybrid i40 team},
publisher = {{ACM} Press},
timestamp = {2020-04-01T12:17:16.000+0200},
title = {Agent-based support for human/agent teams},
url = {https://doi.org/10.1145%2F633292.633308},
year = 2000
}