When two or more trusted cues are available to estimate the same property of the world, human perceptual systems usually exhibit data fusion, and it is possible to change the relative weights given to different cues through training (Ernst et al., 2000).
When multiple or more credible sources are available for assessing the same attribute of reality, human perceptual systems typically combine their outputs in a process known as data fusion, and this combination can be modified through learning (Ernst et al., 2000).