People routinely rely on data to make decisions, but the process can be riddled with biases. We show that patterns in data might be noticed first or more strongly, depending on how the data is visually represented or what the viewer finds salient. We also demonstrate that viewer interpretation of data is similar to that of 'ambiguous figures' such that two people looking at the same data can come to different decisions.
View Article and Find Full Text PDFA viewer can extract many potential patterns from any set of visualized data values. But that means that two people can see different patterns in the same visualization, potentially leading to miscommunication. Here, we show that when people are primed to see one pattern in the data as visually salient, they believe that naïve viewers will experience the same visual salience.
View Article and Find Full Text PDFVisual information contributes fundamentally to the process of object categorization. The present study investigated whether the degree of activation of visual information in this process is dependent on the contextual relevance of this information. We used the Proactive Interference (PI-release) paradigm.
View Article and Find Full Text PDFPeople mentally represent the shapes of objects. For instance, the mental representation of an eagle is different when one thinks about a flying or resting eagle. This study examined the role of shape in mental representations of similes (i.
View Article and Find Full Text PDFIn order to interpret novel metaphoric relations, we have to construct ad hoc categories under which the metaphorically related concepts can be subsumed. Shape is considered to be one of the primary vehicles of object categorization. Accordingly, shape might play a prominent role in interpreting visual metaphors (i.
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