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Dissonance Engineering for Risk Analysis: A Theoretical Framework

Abstract : This chapter presents a new original approach to analyze risks based on the dissonance concept. A dissonance occurs when conflict between individual or collective knowledge occurs. A theoretical framework is then proposed to control dissonances. It is based on the DIssonance MAneGEment (DIMAGE) model and the human–machine learning concept. Some simple examples are proposed in order to illustrate the application feasibility of the behavior analysis-based framework and the knowledge analysis-based framework. The first example concerns the dissonance identification by the use of the reverse comic strip-based tool that analyzes the human behavior by taking into account the facial and voice characteristics. The second example consists of analyzing the knowledge content composed by rules in order to support the dissonance identification and evaluation. The last example relates to automated knowledge reinforcement in order to recover a lack of knowledge, i.e. to reduce dissonance.
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Submitted on : Tuesday, October 26, 2021 - 3:14:20 PM
Last modification on : Wednesday, October 27, 2021 - 4:04:47 AM

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Frédéric Vanderhaegen. Dissonance Engineering for Risk Analysis: A Theoretical Framework. P. Millot. Risk Management in Life-Critical Systems, ISTE-Wiley, pp.157-182, 2014, 978-1-84821-480-4. ⟨10.1002/9781118639351.ch8⟩. ⟨hal-03404238⟩

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