Scene Variability Biases Our Decisions, But Not Our Perceptual Estimates

We constantly perform tasks within complex and dynamic environments. Some of these tasks (e.g., road crossing or playing team sports) require predicting future states of the world to decide which action to unfold and when to do so. However, it remains largely unexplored how the variability in a scene influences perceptual decision-making. Here we examine how increasing the scene variability influences our ability to make perceptual judgements and decisions by using a go/no-go decision task in a dynamic scenario mimicking a road-crossing situation with different levels of stimuli variability. Parameters of psychometric functions revealed that differences in variability do not influence judgements about the objects' time-to-contact, or the difficulty in making such judgements. Nevertheless, increases in the scene variability influence the go/no-go decisions leading people to adopt more conservative criteria. How much the criterion changes across levels of variability is well accounted for by the actual amount of variance in the scene, but the overall criterion is tightly linked to the precision or reliability with which one can estimate perceptual information about the objects' arrival time. These results suggest that the reliability on our own perceptual estimates modulate our criterion when completing perceptual decision-making tasks under different scene variabilities. Public Significance Statement Multiple daily life tasks such as crossing a road or playing team sports occur within dynamic complex scenarios and require considering information from more than one item simultaneously to decide what to do next. We here use a go/no-go task emulating a road-crossing situation to evaluate how the variability in the scene influences our decisions. This study highlights that despite being equally good at judging how objects in the environment move, scene variability influences the criteria we adopt to make decisions within that environment. Moreover, the precision in judging future states of the world determines whether we adopt more or less restrictive criteria.