In-the-loop or on-the-loop? Interactional arrangements to support team coordination with a planning agent

Fischer, Joel E. and Greenhalgh, Chris and Jiang, Wenchao and Ramchurn, Sarvapali D. and Wu, Feng and Rodden, Tom (2017) In-the-loop or on-the-loop? Interactional arrangements to support team coordination with a planning agent. Concurrency and Computation: Practice and Experience . ISSN 1532-0634

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Abstract

In this paper we present the study of interactional arrangements that support the collaboration of headquarters (HQ), field responders and a computational planning agent in a time-critical task setting created by a mixed-reality game. Interactional arrangements define the extent to which control is distributed between the collaborative parties.We provide two field trials, one to study an “on-the-loop” arrangement in which HQ monitors and intervenes in agent instructions to field players on demand, and the other to study a version that places headquarters more tightly “in-the-loop”. The studies provide and understanding of the sociotechnical collaboration between players and the agent in these interactional arrangements, by conducting interaction analysis of video recordings and game log data. The first field trial focuses on the collaboration of field responders with the planning agent. Findings highlight how players negotiate the agent guidance within the social interaction of the collocated teams. The second field trial focuses on the collaboration between the automated planning agent and the headquarters. We find that the human coordinator and the agent can successfully work together in most cases, with human coordinators inspecting and ‘correcting’ the agent-proposed plans. Through this field trial-driven development process, we generalise interaction design implications of automated planning agents around the themes of supporting common ground and mixed-initiative planning.

Item Type: Article
Keywords: CSCW; field trial; team coordination; human-agent interaction; mixed-reality games; coalition formation; instructions; computational planning
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number: 10.1002/cpe.4082
Depositing User: Eprints, Support
Date Deposited: 16 Jan 2017 14:06
Last Modified: 14 Oct 2017 21:42
URI: http://eprints.nottingham.ac.uk/id/eprint/39872

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