![]() These two formats share a key structural feature the graphical framework provided by the x and y axes, which defines the Cartesian coordinate system. Take two widely used representations-bar and line graphs-as an example (see Figure 1). According to this account, observed variation in behavior is due primarily to the fact that different graphical representations facilitate the use of different cognitive and perceptual operators. The phenomenon of two graphical representations of the same information resulting in very different behavior has been reported on numerous occasions (e.g., Zacks and Tversky, 1999 Peebles and Cheng, 2003 Kosslyn, 2006 Peebles, 2008) and is typically explained in terms of the distinction between informational and computational equivalence of representations ( Larkin and Simon, 1987). We discuss the implications of the study for guidelines for presenting such data and for models of expert graph comprehension.Ī widely established finding in the diagrammatic reasoning literature is that the interpretation and comprehension of information can be significantly affected by the format of its representation. ![]() The findings revealed that, unlike novices-and contrary to the assumptions of several graph comprehension models-experts' performance was the same for both graph formats, with their interpretation of bar graphs being no worse than that for line graphs. The study sought to determine whether expert interpretation is affected by graph format in the same way that novice interpretations are. We present an experiment that investigates this principle in relation to the performance of expert graph users of 2 × 2 “interaction” bar and line graphs. The distinction between informational and computational equivalence of representations, first articulated by Larkin and Simon (1987) has been a fundamental principle in the analysis of diagrammatic reasoning which has been supported empirically on numerous occasions. Applied Cognition and Cognitive Engineering Group, Centre for Applied Psychological and Health Research, Department of Behavioural and Social Sciences, University of Huddersfield, Huddersfield, UK. ![]()
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