Intro | Gesture | Navigation | Scaling | 3D Visualization and Transformations | Category Adjustment Model
Category Adjustment Model
"When asked to make spatial judgments or to recall locations, participants frequently make non-random errors. Rather, errors tend to be systematically biased toward the central value of the surrounding region (e.g. Fitting, Wedell, & Allen, 2007; Holden, Curby, Newcombe, & Shipley, 2010; Huttenlocher, Hedges, & Duncan, 1991; Plumert & Hund, 2001).
While some researchers have suggested that such errors simply show the schematized, distorted quality of spatial memory representations (e.g., Tversky, 1981), a more recent model – the Category Adjustment (CA) model – suggests that such errors are merely the result of an adaptive process of optimal combination across multiple levels of information about a given location – a process that actually minimizes overall error (Huttenlocher et al., 1991)".