Animal dispersal is among the most impacted behaviours from habitat loss and fragmentation. Animals disperse in search of better conditions to ultimately increase their fitness. However, the dispersal process induces costs that can be translated as a loss in fecundity or as an increase in predation risks. In this study, we use an evolutionary multi-agent model to quantify how costs related to information acquisition shape information gathering strategies used in animal dispersal. We separate costs of private information, i.e., related to the direct acquisition of information sensed in the physical environment, from costs related to social information, i.e., derived from the observation of conspecifics behaviour. We find that a low mortality risk associated with dispersal movements selects non-informed dispersal in low-variability environments. However, high-variability environments select an information gathering strategy based on the exploration of multiple patches of habitat. A higher mortality risk causes drastic drops in population abundance and agents gather information from only one patch to limit their movements. Overall, private information is predominantly used in high-variability environments while social and private information are used equally in low-variability environments.