Descriptive modelling of team troubleshooting in nuclear domain

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    Even though modern engineering systems are becoming more reliable, there is evidence that main control room (MCR) operators and maintenance technicians have problems in diagnosing complicated events and multiple simultaneous events in nuclear power plants (NPPs). There is a lot of research on finding faults in complex incident situations, but there is quite little knowledge of the cognitive strategies, states and activities of MCR teams in troubleshooting situations. This knowledge is, however, important in modelling collaborative diagnostic reasoning and in developing training interventions and decision support systems to support reasoning and problem solving in NPPs. The present paper will firstly critically review existing methods to model collaborative cognition. Our results suggest that some modelling tools, such as social network analysis and information network analysis are valuable in analysing information sharing and team situation awareness in collaborative troubleshooting, but they do not provide detailed information about the sequential evolution of a team’s knowledge state throughout the diagnostic process. On the other hand, the tools representing an individual troubleshooter’s successive knowledge states, transformed by information processing activities, are ignorant of the distributed nature of complex troubleshooting. Therefore, these approaches have to be tailored to suit better the analysis of team collaboration and co-operation in incident and accident situations, i.e., we have to better understand the collaborative aspects of cognition and team-level collaboration in fault finding and in diagnosing faults. We propose a modelling approach suitable for analysing collaborative diagnostic reasoning and troubleshooting of a NPP MCR crew which is based on existing methods and tools. The approach describes the progress and evolution of a MCR operator crew’s knowledge states throughout the critical sections of a simulator run.

    Original languageEnglish
    Title of host publicationMCCSIS 2018 - Multi Conference on Computer Science and Information Systems
    Subtitle of host publicationProceedings of the International Conferences on e-Health 2018, ICT, Society, and Human Beings 2018 and Web Based Communities and Social Media 2018
    EditorsPiet Kommers, Luis Rodrigues, Mario Macedo
    Pages93-102
    Number of pages10
    Publication statusPublished - 1 Jan 2018
    MoE publication typeNot Eligible
    Event10th International Conference on e-Health 2018, the 11th International Conference on ICT, Society, and Human Beings 2018 and of the 15th International Conference Web Based Communities and Social Media 2018, part of the Multi Conference on Computer Science and Information Systems 2018, MCCSIS 2018 - Madrid, Spain
    Duration: 17 Jul 201819 Jul 2018

    Conference

    Conference10th International Conference on e-Health 2018, the 11th International Conference on ICT, Society, and Human Beings 2018 and of the 15th International Conference Web Based Communities and Social Media 2018, part of the Multi Conference on Computer Science and Information Systems 2018, MCCSIS 2018
    CountrySpain
    CityMadrid
    Period17/07/1819/07/18

    Fingerprint

    Nuclear power plants
    Electric network analysis
    Decision support systems
    Systems engineering
    Accidents
    Simulators

    Keywords

    • Collaboration
    • Operator
    • Process control
    • Troubleshooting

    Cite this

    Laarni, J. (2018). Descriptive modelling of team troubleshooting in nuclear domain. In P. Kommers, L. Rodrigues, & M. Macedo (Eds.), MCCSIS 2018 - Multi Conference on Computer Science and Information Systems: Proceedings of the International Conferences on e-Health 2018, ICT, Society, and Human Beings 2018 and Web Based Communities and Social Media 2018 (pp. 93-102)
    Laarni, Jari. / Descriptive modelling of team troubleshooting in nuclear domain. MCCSIS 2018 - Multi Conference on Computer Science and Information Systems: Proceedings of the International Conferences on e-Health 2018, ICT, Society, and Human Beings 2018 and Web Based Communities and Social Media 2018. editor / Piet Kommers ; Luis Rodrigues ; Mario Macedo. 2018. pp. 93-102
    @inproceedings{490c0864ebea4db480dc64d4799cc16f,
    title = "Descriptive modelling of team troubleshooting in nuclear domain",
    abstract = "Even though modern engineering systems are becoming more reliable, there is evidence that main control room (MCR) operators and maintenance technicians have problems in diagnosing complicated events and multiple simultaneous events in nuclear power plants (NPPs). There is a lot of research on finding faults in complex incident situations, but there is quite little knowledge of the cognitive strategies, states and activities of MCR teams in troubleshooting situations. This knowledge is, however, important in modelling collaborative diagnostic reasoning and in developing training interventions and decision support systems to support reasoning and problem solving in NPPs. The present paper will firstly critically review existing methods to model collaborative cognition. Our results suggest that some modelling tools, such as social network analysis and information network analysis are valuable in analysing information sharing and team situation awareness in collaborative troubleshooting, but they do not provide detailed information about the sequential evolution of a team’s knowledge state throughout the diagnostic process. On the other hand, the tools representing an individual troubleshooter’s successive knowledge states, transformed by information processing activities, are ignorant of the distributed nature of complex troubleshooting. Therefore, these approaches have to be tailored to suit better the analysis of team collaboration and co-operation in incident and accident situations, i.e., we have to better understand the collaborative aspects of cognition and team-level collaboration in fault finding and in diagnosing faults. We propose a modelling approach suitable for analysing collaborative diagnostic reasoning and troubleshooting of a NPP MCR crew which is based on existing methods and tools. The approach describes the progress and evolution of a MCR operator crew’s knowledge states throughout the critical sections of a simulator run.",
    keywords = "Collaboration, Operator, Process control, Troubleshooting",
    author = "Jari Laarni",
    year = "2018",
    month = "1",
    day = "1",
    language = "English",
    isbn = "978-9-8985-3377-7",
    pages = "93--102",
    editor = "Piet Kommers and Luis Rodrigues and Mario Macedo",
    booktitle = "MCCSIS 2018 - Multi Conference on Computer Science and Information Systems",

    }

    Laarni, J 2018, Descriptive modelling of team troubleshooting in nuclear domain. in P Kommers, L Rodrigues & M Macedo (eds), MCCSIS 2018 - Multi Conference on Computer Science and Information Systems: Proceedings of the International Conferences on e-Health 2018, ICT, Society, and Human Beings 2018 and Web Based Communities and Social Media 2018. pp. 93-102, 10th International Conference on e-Health 2018, the 11th International Conference on ICT, Society, and Human Beings 2018 and of the 15th International Conference Web Based Communities and Social Media 2018, part of the Multi Conference on Computer Science and Information Systems 2018, MCCSIS 2018, Madrid, Spain, 17/07/18.

    Descriptive modelling of team troubleshooting in nuclear domain. / Laarni, Jari.

    MCCSIS 2018 - Multi Conference on Computer Science and Information Systems: Proceedings of the International Conferences on e-Health 2018, ICT, Society, and Human Beings 2018 and Web Based Communities and Social Media 2018. ed. / Piet Kommers; Luis Rodrigues; Mario Macedo. 2018. p. 93-102.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    TY - GEN

    T1 - Descriptive modelling of team troubleshooting in nuclear domain

    AU - Laarni, Jari

    PY - 2018/1/1

    Y1 - 2018/1/1

    N2 - Even though modern engineering systems are becoming more reliable, there is evidence that main control room (MCR) operators and maintenance technicians have problems in diagnosing complicated events and multiple simultaneous events in nuclear power plants (NPPs). There is a lot of research on finding faults in complex incident situations, but there is quite little knowledge of the cognitive strategies, states and activities of MCR teams in troubleshooting situations. This knowledge is, however, important in modelling collaborative diagnostic reasoning and in developing training interventions and decision support systems to support reasoning and problem solving in NPPs. The present paper will firstly critically review existing methods to model collaborative cognition. Our results suggest that some modelling tools, such as social network analysis and information network analysis are valuable in analysing information sharing and team situation awareness in collaborative troubleshooting, but they do not provide detailed information about the sequential evolution of a team’s knowledge state throughout the diagnostic process. On the other hand, the tools representing an individual troubleshooter’s successive knowledge states, transformed by information processing activities, are ignorant of the distributed nature of complex troubleshooting. Therefore, these approaches have to be tailored to suit better the analysis of team collaboration and co-operation in incident and accident situations, i.e., we have to better understand the collaborative aspects of cognition and team-level collaboration in fault finding and in diagnosing faults. We propose a modelling approach suitable for analysing collaborative diagnostic reasoning and troubleshooting of a NPP MCR crew which is based on existing methods and tools. The approach describes the progress and evolution of a MCR operator crew’s knowledge states throughout the critical sections of a simulator run.

    AB - Even though modern engineering systems are becoming more reliable, there is evidence that main control room (MCR) operators and maintenance technicians have problems in diagnosing complicated events and multiple simultaneous events in nuclear power plants (NPPs). There is a lot of research on finding faults in complex incident situations, but there is quite little knowledge of the cognitive strategies, states and activities of MCR teams in troubleshooting situations. This knowledge is, however, important in modelling collaborative diagnostic reasoning and in developing training interventions and decision support systems to support reasoning and problem solving in NPPs. The present paper will firstly critically review existing methods to model collaborative cognition. Our results suggest that some modelling tools, such as social network analysis and information network analysis are valuable in analysing information sharing and team situation awareness in collaborative troubleshooting, but they do not provide detailed information about the sequential evolution of a team’s knowledge state throughout the diagnostic process. On the other hand, the tools representing an individual troubleshooter’s successive knowledge states, transformed by information processing activities, are ignorant of the distributed nature of complex troubleshooting. Therefore, these approaches have to be tailored to suit better the analysis of team collaboration and co-operation in incident and accident situations, i.e., we have to better understand the collaborative aspects of cognition and team-level collaboration in fault finding and in diagnosing faults. We propose a modelling approach suitable for analysing collaborative diagnostic reasoning and troubleshooting of a NPP MCR crew which is based on existing methods and tools. The approach describes the progress and evolution of a MCR operator crew’s knowledge states throughout the critical sections of a simulator run.

    KW - Collaboration

    KW - Operator

    KW - Process control

    KW - Troubleshooting

    UR - http://www.scopus.com/inward/record.url?scp=85054196477&partnerID=8YFLogxK

    M3 - Conference article in proceedings

    AN - SCOPUS:85054196477

    SN - 978-9-8985-3377-7

    SP - 93

    EP - 102

    BT - MCCSIS 2018 - Multi Conference on Computer Science and Information Systems

    A2 - Kommers, Piet

    A2 - Rodrigues, Luis

    A2 - Macedo, Mario

    ER -

    Laarni J. Descriptive modelling of team troubleshooting in nuclear domain. In Kommers P, Rodrigues L, Macedo M, editors, MCCSIS 2018 - Multi Conference on Computer Science and Information Systems: Proceedings of the International Conferences on e-Health 2018, ICT, Society, and Human Beings 2018 and Web Based Communities and Social Media 2018. 2018. p. 93-102