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The Functional Resonance Analysis Method as a Debriefing Tool in Scenario-Based-Training

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Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) (IEA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 819))

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Abstract

The aim of this study is to discuss the use of the Functional Resonance Analysis Method (FRAM) as a debriefing tool in Scenario-Based-Training (SBT). This discussion is based on data collected during a training simulation session carried out as part of a Research and Development Project involving the development of resilience skills of grid electricians. The scenario of this simulation had a client complaining that the power had went off in his residence. The participants of the debriefing identified seven functions performed by the trainees. The use of the FRAM pointed out that there was variability in the outputs of two functions: <to make the repair> and <to check the extent of the power shortage>. Concerning the function <to make the repair> the work constraints, such as time pressure, encouraged workers to make a temporary repair, rather than replacing the cable for a new one. In the debriefing, two actions to re-design the work system were raised: to increase investments in preventive maintenance; and to improve the design of lifting equipment and tools. The instantiation presented showed that using FRAM models and concepts (e.g. output variability, couplings, and functions) can be useful for analyzing workers’ and system’s performance in the debriefing, since it presents the resonance arising from the variability of everyday performance and lead to recommendations for coping with the variability.

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Notes

  1. 1.

    “Individual and team skills necessary to adjust performance, in order to maintain safe and efficient operations during both expected and unexpected situations” [11].

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Author information

Authors and Affiliations

  1. Federal University of Rio Grande do Sul, Rua Osvaldo Aranha, 99, 5°andar, Porto Alegre, 90035-190, Brazil

    Priscila Wachs & Tarcísio Abreu Saurin

  2. Federal University of Santa Maria, Avenida Roraima, 1000, Santa Maria, 97105-900, Brazil

    Angela Weber Righi

Authors
  1. Priscila Wachs
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  2. Angela Weber Righi
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  3. Tarcísio Abreu Saurin
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Corresponding author

Correspondence to Priscila Wachs .

Editor information

Editors and Affiliations

  1. University of the Republic of San Marino, San Marino, San Marino

    Sebastiano Bagnara

  2. Centre for Clinical Risk Management and Patient Safety, Tuscany Region, Florence, Italy

    Riccardo Tartaglia

  3. Centre for Clinical Risk Management and Patient Safety, Tuscany Region, Florence, Italy

    Sara Albolino

  4. Fraunhofer FKIE, Bonn, Nordrhein-Westfalen, Germany

    Thomas Alexander

  5. International Ergonomics Association, Tokyo, Japan

    Yushi Fujita

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Wachs, P., Righi, A.W., Saurin, T.A. (2019). The Functional Resonance Analysis Method as a Debriefing Tool in Scenario-Based-Training. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 819. Springer, Cham. https://doi.org/10.1007/978-3-319-96089-0_14

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