title: An adaptive cue combination model of human spatial reorientation.
abstract: Previous research has proposed an adaptive cue combination view of the development of human spatial reorientation (Newcombe & Huttenlocher, 2006), whereby information from multiple sources is combined in a weighted fashion in localizing a target, as opposed to being modular and encapsulated (Hermer & Spelke, 1996). However, no prior work has formalized this proposal and tested it against existing empirical data. We propose a computational model of human spatial reorientation that is motivated by probabilistic approaches to optimal perceptual cue integration (e.g. Ernst & Banks, 2002) and to spatial location coding (Huttenlocher, Hedges, & Duncan, 1991). We show that this model accounts for data from a variety of human reorientation experiments, providing support for the adaptive combination view of reorientation.
authors.affiliation: Department of Linguistics, Cognitive Science Program, University of California, Berkeley, CA 94720-2650, USA. Electronic address: yang_xu_ch@berkeley.edu.
authors.forename: Yang
authors.initials: Y
authors.lastname: Xu
authors.affiliation: Department of Linguistics, Cognitive Science Program, University of California, Berkeley, CA 94720-2650, USA.
authors.forename: Terry
authors.initials: T
authors.lastname: Regier
authors.affiliation: Department of Psychology, 318 Weiss Hall, Temple University, Philadelphia, PA 19122, USA.
authors.forename: Nora S
authors.initials: NS
authors.lastname: Newcombe
mesh_terms: D001245:Association Learning; D003463:Cues; D006801:Humans; D008960:Models, Psychological; D000072458:Orientation, Spatial; D013028:Space Perception; D065855:Spatial Processing
keywords: Adaptive cue combination; Associative model; Geometric module; Probabilistic model; Room-size effect; Spatial reorientation