DocumentCode :
1771355
Title :
Social implications of agent-based planning support for human teams
Author :
Wenchao Jiang ; Fischer, Joel E. ; Greenhalgh, Chris ; Ramchurn, Sarvapali D. ; Feng Wu ; Jennings, Nicholas R. ; Rodden, Tom
Author_Institution :
Mixed Reality Lab., Univ. of Nottingham, Nottingham, UK
fYear :
2014
fDate :
19-23 May 2014
Firstpage :
310
Lastpage :
317
Abstract :
We present a field trial of how instructions from an intelligent planning agent are dealt with by distributed human teams, in a time-critical task setting created through a mixed-reality game. We conduct interaction analysis to examine video recorded field observations and game log data. The findings highlight the social process by which players interpret and negotiate the agent guidance as well as how these are intertwined with social dynamics of the teams. The insights can be used to develop an understanding of interactional issues around automated team instructions and inform the design of human-centred planning support systems.
Keywords :
multi-agent systems; planning (artificial intelligence); social sciences computing; agent guidance; agent-based planning support; automated team instructions; distributed human team social dynamics; game log data; human-centred planning support systems; intelligent planning agent; interaction analysis; mixed-reality game; social process; video recorded field observations; Computational modeling; Games; Legged locomotion; Planning; Resource management; Turning; Virtual reality; coalition formation; human-agent interaction; instructions; mixed reality game; planning support; team coordination;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Collaboration Technologies and Systems (CTS), 2014 International Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4799-5157-4
Type :
conf
DOI :
10.1109/CTS.2014.6867582
Filename :
6867582
Link To Document :
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