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Erschienen in: Autonomous Robots 3/2015

01.10.2015

Decision-making authority, team efficiency and human worker satisfaction in mixed human–robot teams

verfasst von: Matthew C. Gombolay, Reymundo A. Gutierrez, Shanelle G. Clarke, Giancarlo F. Sturla, Julie A. Shah

Erschienen in: Autonomous Robots | Ausgabe 3/2015

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Abstract

In manufacturing, advanced robotic technology has opened up the possibility of integrating highly autonomous mobile robots into human teams. However, with this capability comes the issue of how to maximize both team efficiency and the desire of human team members to work with these robotic counterparts. To address this concern, we conducted a set of experiments studying the effects of shared decision-making authority in human–robot and human-only teams. We found that an autonomous robot can outperform a human worker in the execution of part or all of the process of task allocation (\(p<0.001\) for both), and that people preferred to cede their control authority to the robot \((p<0.001)\). We also established that people value human teammates more than robotic teammates; however, providing robots authority over team coordination more strongly improved the perceived value of these agents than giving similar authority to another human teammate \((p< 0.001)\). In post hoc analysis, we found that people were more likely to assign a disproportionate amount of the work to themselves when working with a robot \((p<0.01)\) rather than human teammates only. Based upon our findings, we provide design guidance for roboticists and industry practitioners to design robotic assistants for better integration into the human workplace.

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Fußnoten
1
SocketTest v3.0.0 2003-2008 Akshathnkumar Shetty (http://​www.​sockettest.​sourceforge.​net/​).
 
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Metadaten
Titel
Decision-making authority, team efficiency and human worker satisfaction in mixed human–robot teams
verfasst von
Matthew C. Gombolay
Reymundo A. Gutierrez
Shanelle G. Clarke
Giancarlo F. Sturla
Julie A. Shah
Publikationsdatum
01.10.2015
Verlag
Springer US
Erschienen in
Autonomous Robots / Ausgabe 3/2015
Print ISSN: 0929-5593
Elektronische ISSN: 1573-7527
DOI
https://doi.org/10.1007/s10514-015-9457-9

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