The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Cognitive coordinate systems: Accounts of mental rotation and individual differences in spatial ability.
Abstract
Strategic differences in spatial tasks can be explained in terms of different cognitive coordinate systems that subjects adopt. The strategy of mental rotation (of the type used in most mental rotation experiments and in some psychometric tests of spatial ability) uses a coordinate system defined by the standard axes of our visual world (i.e. horizontal, vertical, and depth axes). Within this strategy, rotations are performed around one or more of the standard axes. The paper provides a detailed theoretical account of the mental rotation of individuals of low and high spatial ability as they solve problems taken from psychometric tests. The theory is instantiated as two related computer simulation models that not only solve the problems, but also match the response times for the two groups. The simulation models contain modularized units of procedural knowledge called productions, that select and execute the appropriate actions at each knowledge state. Small localized differences between the two models simulate the large quantitative and qualitative differences between the two groups of subjects.
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Cites
Mental Rotation of Three-Dimensional Objects
Shepard, R. N., & Metzler, J. (1971) · Science · doi:10.1126/science.171.3972.701 · Cited by 6,246
Representation and recognition of the spatial organization of three-dimensional shapes
Marr, D., & Nishihara, H. K. (1978) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1978.0020 · Cited by 2,158
Solso, R., & Chase, W. G. (1974) · The American Journal of Psychology · doi:10.2307/1421395 · Cited by 2,124
Thurstone, L. L. (1973) · The Measurement of Intelligence · doi:10.1007/978-94-011-6129-9_8 · Cited by 2,121
Podgorny, P., & Kosslyn, S. M. (1982) · The American Journal of Psychology · doi:10.2307/1422671 · Cited by 1,818
Advances in the Psychology of Human Intelligence
(2014) · Psychology Press eBooks · doi:10.4324/9781315808246 · Cited by 1,754
Eye fixations and cognitive processes
Just, M. A., & Carpenter, P. A. (1976) · Cognitive Psychology · doi:10.1016/0010-0285(76)90015-3 · Cited by 1,730
Self-citationWhat the Mind’s Eye Tells the Mind’s Brain: A Critique of Mental Imagery
Pylyshyn, Z. W. (1973) · Images, Perception, and Knowledge · doi:10.1007/978-94-010-1193-8_1 · Cited by 1,342
McGee, M. G. (1979) · Psychological Bulletin · doi:10.1037//0033-2909.86.5.889 · Cited by 1,275
Arguments concerning representations for mental imagery.
Anderson, J. R. (1978) · Psychological Review · doi:10.1037//0033-295x.85.4.249 · Cited by 1,232
Cited by
Circuitry of Primate Prefrontal Cortex and Regulation of Behavior by Representational Memory
Goldman‐Rakic, P. S. (1987) · Comprehensive Physiology · doi:10.1002/cphy.cp010509 · Cited by 1,960
Hegarty, M., Montello, D. R., Richardson, A. E., Ishikawa, T., & Lovelace, K. (2006) · Intelligence · doi:10.1016/j.intell.2005.09.005 · Cited by 820
Maeda, Y., & Yoon, S. Y. (2013) · Educational Psychology Review · doi:10.1007/s10648-012-9215-x · Cited by 398
Space in Language and Cognition: Explorations in Cognitive Diversity
Levinson, S. C. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9780511613609 · Cited by 352
Selective right parietal lobe activation during mental rotation
Harris, I. M., Egan, G. F., Sonkkila, C., Tochon-Danguy, H. J., Paxinos, G., & Watson, J. D. G. (2000) · Brain · doi:10.1093/brain/123.1.65 · Cited by 299
Metadata
- Authors
- Just, M. A., & Carpenter, P. A.
- Venue
- Psychological Review
- Published
- 1985
- Volume
- 92
- Issue
- 2
- Pages
- 137-172
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2085728285
- Cited by
- 572
- References
- 52
- FWCI
- 124.52
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.