Decoding physiological signals linked to confidence

Numerous human activities rely on an interaction with automated systems. However, automated systems are not entirely independent; they still require human supervision and their activities have to be coordinated with human actions. 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 engagement in the activities of the system. In case of failure of the automated system, this reduction of engagement can have detrimental effects.

In line with this framework this internship aims at studying individual’s confidence while interacting and cooperating with a machine. In particular, we will be interested in investigating the physiological signals (with EEG and/or eye-tracking) that are associated with individuals’ confidence regarding their decisions and the decisions of the machine, with the aim of predicting their behavioural performance from these signals.

This internship will take place either at the ONERA the French aerospace lab in Salon-de-Provence, or at the Institut des Neurosciences de la Timone (INT). It will be supervised by Andrea Desantis and will be conducted in collaboration with Dr Pascal Mamassian from the ENS and Manuel Vidal from the INT.

The trainee will be asked to:
– Conduct a review of the literature on confidence and its physiological correlates.
– Participate in the design, programming, data collection and analysis of an experiment involving either electroencephalography or eye-tracking.

This internship can potentially lead to a PhD thesis.

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