Anticipation et accumulation active d'information sensorielle dans la prise de décision en situations de vision normale et dégradée

Abstract : Driving a vehicle in the fog requires the integration of noisy visual information with expectations about the visual road scene, in order to search for visual clues important for navigating. The visual search and identification of relevant objects can be seen as decision-making processes where sensory information is accumulated and where the expectations about the target object and its context are integrated. The accumulation of information is often modelled as a passive process. This thesis focuses on the contribution of active mechanisms integrating expectations about the target (its identity, its location) with degraded sensory information (with fog or artificial noise).We used the mouse-tracking paradigm, allowing to infer dynamic aspects of the decision-making process through a computer mouse movements. Study 1 evaluates the effect of the context for categorizing a target and suggests a trade-off between the speed and accuracy of the evidence accumulation process which can be seen as actively influencing the decision. But this study cannot directly evaluate the active collection of evidence.In Studies 2 and 3, target detection and verification are directly measured through eye movements during visual search tasks in visually degraded scenes. We manipulated the expectations about the location (Study 2) and the target’s identity (Study 3). These studies emphasize the contributions of the detection and verification processes in the accumulation of evidence toward the target present and target absent responses. In conclusion, we propose the draft of a decision-making model which integrates the dynamics between the accumulation of evidence, and the oculomotor system.
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Boris Quetard. Anticipation et accumulation active d'information sensorielle dans la prise de décision en situations de vision normale et dégradée. Psychologie. Université Clermont Auvergne, 2018. Français. ⟨NNT : 2018CLFAL006⟩. ⟨tel-02058194⟩

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