Weak Signal-Oriented Investigation of Ethical Dissonance Applied to Unsuccessful Mobility Experiences Linked to Human–Machine Interactions.

Ethical dissonance arises from conflicts between beliefs or behaviors and affects ethical factors such as normality or conformity. This paper proposes a weak signal-oriented framework to investigate ethical dissonance from experiences linked to human–machine interactions. It is based on a systems en...

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Publicado en:Science & Engineering Ethics Vol. 27; no. 1; pp. 1 - 18
Autor principal: Vanderhaegen, F.
Formato: Artículo
Publicado: Springer Nature Jan2021
Acceso en línea:Ver este registro en EBSCOhost
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        au: Vanderhaegen, F.
        affil:
          Univ. Polytechnique Hauts-de-France, LAMIH, CNRS, UMR 8201, Le Mont Houy, 59313, Valenciennes Cedex 9, France
          INSA Hauts-de-France, 59313, Valenciennes, France
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      keyword:
        Ethical dissonance
        Ethical factors
        Human-systems inclusion
        Systems engineering
        Weak signals
      ab: Ethical dissonance arises from conflicts between beliefs or behaviors and affects ethical factors such as normality or conformity. This paper proposes a weak signal-oriented framework to investigate ethical dissonance from experiences linked to human–machine interactions. It is based on a systems engineering principle called human-systems inclusion, which considers any experience feedback of weak signals as beneficial to learn. The framework studies weak signal-based scenarios from testimonies of individual experiences and these scenarios are assessed by other people. For this purpose, the framework proposes several databases as sources of weak signals, formalization tools of experience feedback of weak signals, models of references of conformity, ethical factors, and a list of examples of ethical dissonance. It also includes sequential steps to make the latter credible regarding the results from the experimental protocols. The framework was used to investigate ethical dissonance by analyzing experiences pertaining to achieving inclusive mobility. The first example focuses on ethical dissonance in terms of hindrance that goes against autonomous mobility due to a misunderstanding of how the system functions in terms of negative and positive emotions. Two other examples present possible ethical dissonance when the use of safety systems such as car driver-assistance systems, may create danger. Investigating ethical dissonance can then help system-inclusive design or evaluation processes by taking into account scenarios from weak signal-based experiences and making them credible.
      pubtype: Academic Journal
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    language: English
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