Literature DB >> 20438259

A category adjustment approach to memory for spatial location in natural scenes.

Mark P Holden1, Kim M Curby, Nora S Newcombe, Thomas F Shipley.   

Abstract

Memories for spatial locations often show systematic errors toward the central value of the surrounding region. This bias has been explained using a Bayesian model in which fine-grained and categorical information are combined (Huttenlocher, Hedges, & Duncan, 1991). However, experiments testing this model have largely used locations contained in simple geometric shapes. Use of this paradigm raises 2 issues. First, do results generalize to the complex natural world? Second, what types of information might be used to segment complex spaces into constituent categories? Experiment 1 addressed the 1st question by showing a bias toward prototypical values in memory for spatial locations in complex natural scenes. Experiment 2 addressed the 2nd question by manipulating the availability of basic visual cues (using color negatives) or of semantic information about the scene (using inverted images). Error patterns suggest that both perceptual and conceptual information are involved in segmentation. The possible neurological foundations of location memory of this kind are discussed. PsycINFO Database Record (c) 2010 APA, all rights reserved.

Mesh:

Year:  2010        PMID: 20438259     DOI: 10.1037/a0019293

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  6 in total

1.  Bayesian average or truncation at boundaries? The mechanisms underlying categorical bias in spatial memory.

Authors:  Cristina Sampaio; Ranxiao Frances Wang
Journal:  Mem Cognit       Date:  2019-04

Review 2.  Sex differences in the weighting of metric and categorical information in spatial location memory.

Authors:  Mark P Holden; Sarah J Duff-Canning; Elizabeth Hampson
Journal:  Psychol Res       Date:  2014-01-17

3.  The role of memory and perspective shifts in systematic biases during object location estimation.

Authors:  Vladislava Segen; Giorgio Colombo; Marios Avraamides; Timothy Slattery; Jan M Wiener
Journal:  Atten Percept Psychophys       Date:  2022-02-16       Impact factor: 2.157

4.  No single, stable 3D representation can explain pointing biases in a spatial updating task.

Authors:  Jenny Vuong; Andrew W Fitzgibbon; Andrew Glennerster
Journal:  Sci Rep       Date:  2019-08-29       Impact factor: 4.379

Review 5.  Situating space: using a discipline-focused lens to examine spatial thinking skills.

Authors:  Kinnari Atit; David H Uttal; Mike Stieff
Journal:  Cogn Res Princ Implic       Date:  2020-04-22

6.  Gravitational effects of scene information in object localization.

Authors:  Anna Kosovicheva; Peter J Bex
Journal:  Sci Rep       Date:  2021-06-01       Impact factor: 4.379

  6 in total

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