A study of confidence during human-machine interactions

Numerous human activities rely on an interaction with automated systems. It is well established that the confidence shown by an operator in the decisions taken by an automated system is central to successful interactions. However, confidence can be an issue: for instance, operators can exhibit over-confidence in the control of the machine, leading to a considerable reduction of attention toward the activities of the system. In case of failure of the automated system, this overconfidence can have detrimental effects.

Within this framework, this internship aims at studying individual’s confidence during human-machine interactions. In particular, we will be interested in investigating whether individuals can form a model of their partner during a cooperative task and whether their confidence judgments are based on this model.

The internship might also require the use of EEG to decode brain signals associated with individual’s confidence.
This internship will take place at the French aerospace lab (ONERA) in Salon-de-Provence and at the Institut de Neurosciences de la Timone (INT) in Marseille. More specifically, the successful candidate will join the Cognitive Engineering and Applied Neuroscience team of the ONERA and the Inference in Visual Behaviours team of the INT. She/he will be jointly supervised by Dr Andrea Desantis (ONERA) and Dr Manuel Vidal (INT).

The trainee will be required to:
– Conduct a review of the literature on confidence and its EEG correlates.
– Participate in the design, programming, data collection and analysis of an experiment involving behavioural psychophysics (and potentially electroencephalography).

This internship could lead to a PhD thesis

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