Related Experiment Video
Updated: May 12, 2026

05:15
The (Spatial) Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
Published on: February 19, 2018
The scale analysis of number mapping onto space: manual estimation study
1a Institute of Cognitive Neuroscience , University College London , London , UK.
Summary
This study explored how numbers influence spatial perception during action. Results show distinct scaling for numerical and spatial information, suggesting complex number-space interactions.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Human-Computer Interaction
Background:
- Task-irrelevant numerical information can interfere with spatial aspects of visuomotor behavior.
- This interference suggests a shared metric between number and space concerning action.
Purpose of the Study:
- To investigate the scale of number-space mapping in a manual estimation task.
- To rigorously test the hypothesis of shared metrics by examining structural similarity, not just interference.
Main Methods:
- Parametrically manipulated physical size of stimuli and task-irrelevant number magnitudes.
- Utilized the Titchener illusion in a manual estimation task.
Main Results:
- Observed different scaling schemas for number and space.
- Stimulus size changes yielded gradual estimation increases.
- Number magnitude had a categorical effect, with larger numbers (e.g., 9) producing greater manual estimates than smaller numbers (1, 3, 7).
Conclusions:
- Findings indicate distinct scaling mechanisms for numerical and spatial information.
- While not refuting shared metrics, results highlight the need for detailed scale analysis to understand number-space interactions in action.
Related Concept Videos
Estimation of the Physical Quantities
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
Ordinal Level of Measurement
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks in the...
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks in the...
Scaling
In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...

