IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v93y2008i8p1280-1286.html
   My bibliography  Save this article

Analytical basis for evaluating the effect of unplanned interventions on the effectiveness of a human–robot system

Author

Listed:
  • Shah, Julie A.
  • Saleh, Joseph H.
  • Hoffman, Jeffrey A.

Abstract

Increasing prevalence of human–robot systems in a variety of applications raises the question of how to design these systems to best leverage the capabilities of humans and robots. In this paper, we address the relationships between reliability, productivity, and risk to humans from human–robot systems operating in a hostile environment. Objectives for maximizing the effectiveness of a human–robot system are presented, which capture these coupled relationships, and reliability parameters are proposed to characterize unplanned interventions between a human and robot. The reliability metrics defined here take on an expanded meaning in which the underlying concept of failure in traditional reliability analysis is replaced by the notion of intervention. In the context of human–robotic systems, an intervention is not only driven by component failures, but includes many other factors that can make a robotic agent to request or a human agent to provide intervention, as we argue in this paper. The effect of unplanned interventions on the effectiveness of human–robot systems is then investigated analytically using traditional reliability analysis. Finally, we discuss the implications of these analytical trends on the design and evaluation of human–robot systems.

Suggested Citation

  • Shah, Julie A. & Saleh, Joseph H. & Hoffman, Jeffrey A., 2008. "Analytical basis for evaluating the effect of unplanned interventions on the effectiveness of a human–robot system," Reliability Engineering and System Safety, Elsevier, vol. 93(8), pages 1280-1286.
    • Handle: RePEc:eee:reensy:v:93:y:2008:i:8:p:1280-1286
    DOI: 10.1016/j.ress.2007.06.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832007001627
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2007.06.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mehdi Hashemipour & Steven Stuban & Jason Dever, 2018. "A disaster multiagent coordination simulation system to evaluate the design of a first‐response team," Systems Engineering, John Wiley & Sons, vol. 21(4), pages 322-344, July.
    2. Moniz, António, 2013. "Human-Robot Interaction in Industrial Working Environments: Results from a Start-up Project," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 22(1), pages 65-69.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:93:y:2008:i:8:p:1280-1286. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.