Trust in an autonomous agent for predictive maintenance: how agent transparency could impact compliance.
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24 juillet 2022
- ISIDORE Id: 10670/1.289bf6...
- hal: hal-03536524
- doi: 10.54941/ahfe1001602
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info:eu-repo/semantics/altIdentifier/doi/10.54941/ahfe1001602
info:eu-repo/semantics/OpenAccess
Mots-clés
Transparency Human-machine interaction Compliance TrustSujets proches
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Loïck Simon et al., « Trust in an autonomous agent for predictive maintenance: how agent transparency could impact compliance. », HAL SHS (Sciences de l’Homme et de la Société), ID : 10.54941/ahfe1001602
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Résumé
Human-machine cooperation is more and more present in the industry. Machines will be sources of proposal by giving human propositions and advice. Humans will need to make a decision (comply, i.e., agree, or not) with those propositions. Compliance can be seen as an objective trust and experiments results unclear about the role of risk in this compliance. We wanted to understand how transparency on reliability, riskor those two in addition will impact this compliance with machine propositions. With the use of an AI for predictive maintenance, we asked participants to make a decision about a proposition of replanification. Preliminary results show that transparency on risk and total transparency are linked with less compliance with the AI. We can see that risk transparency has more effect on creating an appropriate trust than reliability transparency. As we see, and in agreement with recent studies, there is a need to understand at a finer level the impact of transparency on human-machines interaction
