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The Weber–Fechner laws are two related scientific laws in the field of psychophysics, known as Weber's law and Fechner's law. Both relate to human perception, more specifically the relation between the actual change in a physical stimulus and the perceived change.
Weber's law has important applications in marketing. Manufacturers and marketers endeavor to determine the relevant JND for their products for two very different reasons: so that negative changes (e.g. reductions in product size or quality, or increase in product price) are not discernible to the public (i.e. remain below JND) and
It is often considered to supersede the Weber–Fechner law, which is based on a logarithmic relationship between stimulus and sensation, because the power law describes a wider range of sensory comparisons, down to zero intensity. [1] The theory is named after psychophysicist Stanley Smith Stevens (1906–1973).
Mathematical psychology is an approach to psychological research that is based on mathematical modeling of perceptual, thought, cognitive and motor processes, and on the establishment of law-like rules that relate quantifiable stimulus characteristics with quantifiable behavior (in practice often constituted by task performance).
He considered that the Weber-Fechner law and the LCJ both involve a linear measurement on a psychological continuum whereas Weber's law does not. Weber's law essentially states that how much people perceive physical stimulus intensity to change depends on that intensity. For example, if someone compares a light object of 1 kg with one slightly ...
Fechner took inspiration from Weber’s Law and developed what we know today as Fechner’s Law, claiming that there was a logarithmic relation between stimulus intensity and perceived intensity. Fechner’s Law was more advanced than Weber's Law, partly because Fechner had developed new methods for measuring just-noticeable differences in ...
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In psychophysics, sensory threshold is the weakest stimulus that an organism can sense. Unless otherwise indicated, it is usually defined as the weakest stimulus that can be detected half the time, for example, as indicated by a point on a probability curve. [1] Methods have been developed to measure thresholds in any of the senses.