Strategic processing in dynamic spatial reasoning tasks

1994 ◽  
Vol 6 (1) ◽  
pp. 65-105 ◽  
Author(s):  
Susan C. Fischer ◽  
Daniel T. Hickey ◽  
James W. Pellegrino ◽  
David J. Law
2012 ◽  
Vol 167 (1-2) ◽  
pp. 78-80 ◽  
Author(s):  
Juan I. Solernó ◽  
Daniela Pérez Chada ◽  
Salvador M. Guinjoan ◽  
Santiago Pérez Lloret ◽  
Alejandro Hedderwick ◽  
...  

2013 ◽  
Vol 36 (5) ◽  
pp. 567-568 ◽  
Author(s):  
Ranxiao Frances Wang ◽  
Whitney N. Street

AbstractThe dimension of spatial representations can be assessed by above-chance performance in novel shortcut or spatial reasoning tasks independent of accuracy levels, systematic biases, mosaic/segmentation across space, separate coding of individual dimensions, and reference frames. Based on this criterion, humans and some other animals exhibited sufficient evidence for the existence of three-dimensional and/or four-dimensional spatial representations.


1993 ◽  
Vol 4 (1) ◽  
pp. 35-40 ◽  
Author(s):  
David J. Law ◽  
James W. Pellegrino ◽  
Earl B. Hunt

Recent research suggests that dynamic spatial reasoning tasks show more robust gender differences than static spatial reasoning tasks. These differences have implications for selection procedures based on aptitude test scores. Two experiments were therefore designed to examine the locus of such gender differences. In Experiment 1, 82 males and 82 females performed two separate tasks: judging the relative velocity of moving objects and judging their relative distances from target destinations. Significant gender differences occurred only for relative velocity judgments and were partially related to prior experience. A second experiment therefore tested the effects of practice and feedback on performance judging relative velocity. Male and female performance differences were again found, and performance improved equally as a result of feedback. Consistent with contemporary views of aptitude and assessment, the data suggest that equitable assessment of dynamic spatial abilities requires a determination of experiential history and learning rates as well as absolute performance levels.


Cortex ◽  
2000 ◽  
Vol 36 (5) ◽  
pp. 691-702 ◽  
Author(s):  
Dawn Langdon ◽  
Elizabeth K. Warrington

Author(s):  
Diedrich Wolter ◽  
Jan Oliver Wallgrün

This chapter approaches QSTR from an application perspective. Considering the exemplary application domains of robot navigation, GIS, and computer-aided design, the authors conclude that reasoning must be interpreted in a broader sense than the often-considered constraint-based reasoning and that supporting tools must become available. The authors then discuss the newly identified reasoning tasks and how they can be supported by QSTR toolboxes to foster the dissemination of QSTR in applications. Furthermore, the authors explain how they aim to overcome the lack-of-tools dilemma through the development of the QSTR toolbox SparQ.


2013 ◽  
pp. 1639-1664
Author(s):  
Diedrich Wolter ◽  
Jan Oliver Wallgrün

This chapter approaches QSTR from an application perspective. Considering the exemplary application domains of robot navigation, GIS, and computer-aided design, the authors conclude that reasoning must be interpreted in a broader sense than the often-considered constraint-based reasoning and that supporting tools must become available. The authors then discuss the newly identified reasoning tasks and how they can be supported by QSTR toolboxes to foster the dissemination of QSTR in applications. Furthermore, the authors explain how they aim to overcome the lack-of-tools dilemma through the development of the QSTR toolbox SparQ.


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